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Applied AI Engineer, Beneficial Deployments (Lab Automation)

anthropic

Location: London Advertised pay: GBP 225,000–255,000 / yearly Work arrangement: On-site / hybrid Posted: October 14, 2026 Freshness: Active Source check: Observed in the past 3 days

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionAbove the current median14 current same-currency observations
Work flexibilityOn-site / hybridBased only on stated location/work-arrangement evidence.
Decision evidence3 of 5 core facts knownThis listing states about the same number of core decision facts as the median role in the current sample.
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternativesCurrent role context limitedCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence available: advertised pay range.Use the private Offer & Negotiation Lab below if an offer arrives.
Watch closely: Application closing time · Employment type

Fast read

Opportunity DNA

What stands out most is that pay compares strongly with similar current roles. The biggest counterweight is that location rules could change the fit.

May appeal in aCompensation-led search
PayStrong current position

Around the 93th percentile within 14 comparable GBP salary observations.

FlexibilityLocation limits visible

Regular physical-location attendance is part of the advertised arrangement.

Entry pathRequirements unclear

The listing does not make the minimum education or experience threshold clear enough yet.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

3 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Compensation
  • Work arrangement
  • Location eligibility

What to verify next

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Employment type: Is this permanent, fixed-term, contract, temporary, freelance or another employment arrangement, and which benefits apply?

Unknown information is never converted into a negative score. The questions above exist to prevent missing evidence from being mistaken for a favorable term.

Decision levers

What could make or break the fit?

Reasons to look closer

  • Pay compares strongly with similar current roles: The annualized midpoint is around the 93th percentile among 14 comparable GBP salary observations.

Trade-offs to weigh

  • Location rules could change the fit: Regular physical-location attendance is part of the advertised arrangement.

Questions worth asking before you invest more time

  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Opportunity neighborhood

Keep your options open

These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.

Marketing AI Engineer

Sonarsource · London

Salary not disclosed On-site / hybrid 3/5 core facts

Why it is nearby: Similar work arrangement · Recently posted

Different angle: Seniority is not explicit

Forward Deployed AI Engineer

Palantir · London, United Kingdom

Salary not disclosed On-site / hybrid 3/5 core facts

Why it is nearby: Similar work arrangement · Recently posted

Different angle: Seniority is not explicit

AI Engineer - Digital Unit Sports (f/m/d)

Decathlontechnology · Lille - Btwin Village, Nord

Salary not disclosed On-site / hybrid 2/5 core facts

Why it is nearby: Similar work arrangement · Recently posted

Different angle: Seniority is not explicit

Data Scientist - Forecasting

sonyinteractiveentertainmentglobal · London

Salary not disclosed On-site / hybrid 2/5 core facts

Why it is nearby: Similar work arrangement · Recently posted

Different angle: Seniority is not explicit

This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.

Role market context

How much current choice is visible around this kind of work?

This compares the vacancy with current High Paid Job inventory in the broad Data & AI roles family. It describes visible choice and disclosure, not future demand or career quality.

Current visible roles856

200 most recent current roles sampled for the disclosure measures below.

Employers represented148

Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.

Decision-ready disclosure22%

Current sampled roles stating at least four of the five Core Decision Facts.

Compensation stated15%

Requires a numeric amount, explicit ISO currency and supported pay period.

Work arrangement stated95%

Listings with explicit enough remote, hybrid or on-site evidence to classify.

Stated closing time18%

Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.

Disclosure comparison: This listing states about the same number of core decision facts as the median role in the current sample. This listing: 3/5 · sample median: 3.0/5.

Currencies with explicit pay evidence in the sample: USD (17) · EUR (7) · GBP (2) · CAD (1). Raw amounts across different currencies are not compared.

This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.

Constraint opportunity lab

What changes the size of the current opportunity pool?

Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.

Require explicit sponsorship or relocation support 0 / 200 0%

Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.

Require worldwide remote evidence 17 / 200 9%

A much stricter subset: only listings with explicit worldwide-remote evidence remain.

Require usable compensation disclosure 29 / 200 15%

Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.

Require at least four Core Decision Facts 44 / 200 22%

Shows the subset with enough stated evidence for a more informed first comparison.

Require a remote-listed arrangement 57 / 200 29%

Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.

These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 856 visible roles in this broad family.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing states usable structured compensation. About 15% of the bounded current role sample does the same.

This listingUsable pay stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sample15%

Pay disclosure is uncommon in the current role sample.

Current employer pattern76%

This employer’s current visible listings disclose pay materially more often than the current same-role sample.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payGBP 225,000–255,000 / yearListing evidence only.
Current comparable medianInsufficient same-currency sampleAt least 10 observations required.
Current upper quartileNot publishedCurrent HPJ inventory context, not a salary recommendation.

Negotiation evidence available: advertised pay range.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payKnown

Usable advertised compensation is available.

Bonus / commissionVerify

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesVerify

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsVerify

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveVerify

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • Is there a bonus, commission or other variable-pay component, and how is it calculated?
  • Does the package include equity or another long-term incentive, and what are the vesting terms?
  • What retirement or pension contribution does the employer provide?
  • What health coverage is included and what costs remain with the employee?
  • How much paid leave is provided and what are the carry-over or blackout rules?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • When is the first performance and compensation review after joining?

Occupation intelligence

What broader career references connect to this role?

HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.

HPJ comparison familyData & AI roles
Adjacent families worth exploringSoftware engineering roles · Product roles

European occupation references

This service uses the ESCO classification of the European Commission.

U.S. occupation references

This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.

Career reference research

Skills worth investigating

Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.

ESCO · European occupation

data scientist

Usually essential in this ESCO occupation
  • statistical modeling techniques
  • perform project management
  • query languages
  • online analytical processing
  • develop data processing applications
  • data engineering
  • manage data collection systems
Context-dependent ESCO skills
  • manage ICT data architecture
  • SPARQL
  • use spreadsheets software
  • computational biology
  • state estimation

O*NET · U.S. occupation

Data Scientists

O*NET occupation skills
  • Mathematics
  • Critical Thinking
  • Reading Comprehension
  • Complex Problem Solving
  • Programming
  • Active Learning
  • Speaking
  • Active Listening
Build my private skill preparation brief Your evidence · Practice · Interview questions

Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.

statistical modeling techniquesESCO · Essential · Listing mention unknown
perform project managementESCO · Essential · Listing mention unknown
query languagesESCO · Essential · Listing mention unknown
online analytical processingESCO · Essential · Listing mention unknown
develop data processing applicationsESCO · Essential · Listing mention unknown
data engineeringESCO · Essential · Listing mention unknown
manage data collection systemsESCO · Essential · Listing mention unknown
manage ICT data architectureESCO · Optional · Listing mention unknown
SPARQLESCO · Optional · Listing mention unknown
use spreadsheets softwareESCO · Optional · Listing mention unknown
computational biologyESCO · Optional · Listing mention unknown
state estimationESCO · Optional · Listing mention unknown
MathematicsO*NET · Skills · Listing mention unknown
Critical ThinkingO*NET · Skills · Listing mention unknown
Reading ComprehensionO*NET · Skills · Listing mention unknown
Complex Problem SolvingO*NET · Skills · Listing mention unknown
ProgrammingO*NET · Skills · Listing mention unknown
Active LearningO*NET · Skills · Listing mention unknown
SpeakingO*NET · Skills · Listing mention unknown
Active ListeningO*NET · Skills · Listing mention unknown

Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.

Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?

These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.

Adjacent current roles to investigate

Product roles

Strategic Product Manager

Ericsson AB · Stockholm, Stockholms län, Sverige

same seniority band · similar work-arrangement evidence
Software engineering roles

Mobile Developer - L5

Street Group · Manchester

same seniority band · similar work-arrangement evidence
Software engineering roles

Java Software Engineer

Bounteous · London

same seniority band · similar work-arrangement evidence

Adjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.

Skill bridge

What does this role connect to?

The available listing text does not contain enough recognized skill language for a useful skill bridge yet.

If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Software engineering roles and Product roles. This is exploration context, not a qualification match.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 117 contain a recognized skill signal.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Questions worth resolving before you rely on the opportunity

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Employment type: Is this permanent, fixed-term, contract, temporary, freelance or another employment arrangement, and which benefits apply?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
  • Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?

Decision analysis

What the listing really tells you

Useful decision context

A closer look at Applied AI Engineer, Beneficial Deployments (Lab Automation) at anthropic points most strongly to the advertised pay can be placed in context, work-location flexibility has usable detail, and the application route gives a few useful clues. Those signals shape the practical upside and the questions still worth asking.

The advertised pay can be placed in context

Among 14 current comparable salaries in GBP, the normalized annual midpoint is around the 93th percentile. This compares advertised pay in the same currency and does not include every element of total compensation.

Work-location flexibility has usable detail

Location flexibility can be assessed here: Primarily location-bound, with a Remote Freedom reading of 18/100. One practical limit to notice is regular physical-location attendance is part of the advertised arrangement..

The application route gives a few useful clues

Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.

Source continuity adds useful context

2 recent enabled sources can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

This read combines the structured details currently available for pay, flexibility, qualifications, mobility, application effort and source continuity. Missing facts are left open for you to verify.

Analysis evidence coverage

How much analysis can the current evidence support?

100%Strong analysis evidence coverage
100%
Current-sample pay position93 / 100

Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.

Remote Freedom evidence18 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityMedium confidence · Focused salary range

A clear salary statement was parsed from the listing text. Check the original wording before relying on the normalized values.

Listing freshnessActive

The listing was posted about 7 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

  • Advertised pay is above much of the current comparable disclosed-salary sample.

Visible cautions

  • Regular physical-location attendance is part of the advertised arrangement.

Still unknown

  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Entry-barrier evidence limited

EducationEducation requirement not established
Required experience evidenceExperience requirement not established
Explicit required barriers0
Explicit access signals0

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Strong pay with stated barriers to weigh

Pay compares strongly, but qualification or location constraints are also visible. Higher pay does not erase those practical requirements.

Current-sample pay position

Comparable disclosed-pay evidence places this job at about 93 / 100 within its current occupation/seniority sample.

Location-freedom constraints

1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Education requirement is not established.
  • Required prior-experience level is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Strong current-sample pay position

The annualized salary midpoint is at or above about 93% of the current comparable disclosed-salary sample.

Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Explainable opportunity highlight

Why this opportunity stands out

These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.

Exceptional current-sample pay

Its annualized salary midpoint is at or above about 93% of the current comparable disclosed-salary sample.

Compensation intelligence

How competitive is this pay?

93/100

Exceptional pay in current sample

93%
Comparison familyData & AI roles
Comparable salaries14
Current-sample medianGBP 91,762
Middle 50% of sampleGBP 19,300–240,000
Position in sampleAt or above about 93%
Comparison geographySame occupation and currency
Pay positionAbove the current median

The annualized midpoint is above the current comparable median but remains within the sample’s middle-to-upper range.

Why this analysis?

  • The comparison sample is still limited, so treat this as an early directional pay signal.
  • Salary confidence: Medium. A clear salary statement was parsed from the listing text. Check the original wording before relying on the normalized values.
  • Range quality: Focused salary range.

Employer compensation communication

Pay transparency at anthropic

Good current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

81/100
81%
Salary disclosure76% · 13 of 17 sampled listings
Range qualityMostly focused or specific pay information
Bonus wording0 current listings
Equity wording0 current listings
Benefits wording0 current listings
Evidence strengthStronger

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

anthropic — current opportunity snapshot

Current opportunities visible17
Salary disclosure76%
Remote-policy evidence coverage100% · 17 of 17 sampled listings
Remote share of known arrangements12%
Worldwide-remote share12%
Known hiring countries1
Sponsorship evidence coverage0% · 0 of 17 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample17 of 17 · 100% coverage
Current role-family breadth2
Stated closing-date coverage12%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days24% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation76% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location12% of sampled current listings

Current sampled listings with a supported country signal.

Application timing12% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Sales (6) · Data & AI (6)

Visible seniority mix: Senior / lead (2)

Current employment-type mix: Full time (2)

Most visible hiring countries in this sample: United States (2)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

Current disclosed salary medians by currency

  • GBP 240,000 median · 9 disclosed salaries

Questions worth asking this employer

  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

18/100

Primarily location-bound

18%

Why this score?

  • The listing is on-site or hybrid rather than location independent.

Location restrictions detected

  • Regular physical-location attendance is part of the advertised arrangement.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

No obvious trade-off appears in the available job details. That does not mean the role has no drawbacks, so the original listing and employment terms are still worth reading carefully.

Current alternatives

Better-paying alternatives

These current roles show a materially higher annualized salary midpoint in the same broad occupation and currency. Similar seniority, country, work arrangement, employment type and recency are preferred where possible; higher pay alone does not make an alternative a better fit.

About +6942% midpoint

Data analytics engineer

Seccl · Bath

GBP 14,300,000–19,500,000 / year On-site / hybrid

Why comparable: Similar work-location arrangement

Check: Seniority is not explicit in the alternative listing.

About +10733% midpoint

Data Scientist

Wheely · London

GBP 23,400,000–28,600,000 / year On-site / hybrid

Why comparable: Similar work-location arrangement

Check: Seniority is not explicit in the alternative listing.

About +10% midpoint

Data Scientist Intern - 2027

Wehrtyou · London

GBP 226,200–301,600 / year On-site / hybrid

Why comparable: Similar work-location arrangement

Alternatives are drawn from the current inventory rather than presented as application recommendations. A pay difference needs to be meaningful—about 3% or more at the midpoint—and different currencies are not compared.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: www.arbeitnow.co.uk · HTTPS

No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p><strong>About Anthropic</strong></p> <p>Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society…

Cross-source evidence

Do the current sources tell the same story?

3 decision facts are corroborated by multiple current sources.

Advertised pay Sources agree

The current sources state materially consistent pay evidence within the same currency and pay period.

Work arrangement Sources agree

Current sources agree: Onsite Or Hybrid.

Location Sources agree

Current sources state the same normalized location evidence.

This compares only facts currently supplied by the sources supporting this deduplicated opportunity. Missing evidence is not disagreement, and source agreement is not an employer-quality or authenticity rating.

Listing provenance

Where did this job come from?

See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.

Current source evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

Continuity
Multiple recent renewable sources
Source-class independence
One renewable source class
Last source observation
Observed in the past 3 days

This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.

  • 2 enabled sources recently observed this vacancy.
  • More than one enabled source can currently renew the preserved provenance for this vacancy.

Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.

Arbeitnow UKJob publisher source

This provider gathers vacancies from multiple hiring sources. Its identity remains visible so you can see where the listing came from.

ArbeitnowJob publisher source

This provider gathers vacancies from multiple hiring sources. Its identity remains visible so you can see where the listing came from.

Continue to applicationOpens in a new tab

Listing source: Arbeitnow UK. Destination: www.arbeitnow.co.uk. The application opens in a new tab so you can keep this report open.

Found from 2 sources.