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AI Technical Mentor - Independent Contractor (US Canada, Europe, MENA, APAC)

Udacity

Location: APAC, EMEA, Canada, Europe, USA Work arrangement: Region-restricted remote Employment: Contract Posted: October 16, 2026 Freshness: Aging listing Source check: Observed in the current source window
Disclosure3 of 5 core facts statedReview uncertainties
Last source observationObserved in the current source windowObservation is not employer confirmation.
Application destinationjobicy.comReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Compensation and Application closing time with the employer or source. See verification questions

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 positionPay not disclosed
Work flexibilityRegion-restricted remoteBased only on stated location/work-arrangement evidence.
Decision evidence3 of 5 core facts known
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 is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.Use the private Offer & Negotiation Lab below if an offer arrives.
Watch closely: Comparable advertised compensation is incomplete

Fast read

Opportunity DNA

This opportunity needs a closer read before drawing a strong conclusion, especially around the pay picture is incomplete.

PayNot disclosed

A financial comparison will need the approved compensation range.

FlexibilityLocation limits visible

Geographic eligibility is restricted to a country or region.

Entry pathHigher entry bar

One or more material qualification requirements are stated and may narrow the realistic applicant pool.

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

  • Work arrangement
  • Advertised location
  • Employment type

What to verify next

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.

Decision levers

What could make or break the fit?

Reasons to look closer

Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.

Trade-offs to weigh

  • The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.
  • Location rules could change the fit: Geographic eligibility is restricted to a country or region.
  • The experience requirement raises the entry bar: The listing appears to require at least about 5 years of experience.

Questions worth asking before you invest more time

  • Ask for the approved compensation range before comparing this opportunity financially.
  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • 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.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing does not state usable structured compensation, and the current role sample is still too small for a reliable disclosure-rate comparison.

This listingUsable pay not stated

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

Current same-role sampleInsufficient evidence

At least ten current comparable roles are required before HPJ publishes a disclosure percentage.

Current employer pattern0%

Employer-level comparison is withheld until enough current employer listings are available.

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 payNot usable / not disclosedListing 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 is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.

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 payVerify

The approved base-pay range is not established in the listing.

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

  • What is the approved base-pay range for this role?
  • 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?

Skill bridge

What does this role connect to?

The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.

Skills named in this listing

AWSAzureGoogle CloudGenerative AILarge Language ModelsMachine LearningPython

Shared with the current career sample

The occupation sample is still too thin for a reliable shared-skill comparison.

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used AWS, Azure, and Google Cloud rather than relying on a keyword-only claim.
  • The listing states about 5 years of required experience. Check that the dates and scope in your application make that experience easy to verify.

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.

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.

Explicit requirement

At least about 5 years of experience required

The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.

Listing mention

AWS

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Azure

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Google Cloud

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Generative AI

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Large Language Models

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Machine Learning

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Questions worth resolving before you rely on the opportunity

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • 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

For AI Technical Mentor - Independent Contractor (US Canada, Europe, MENA, APAC) at Udacity, the most useful clues right now are remote flexibility can be weighed properly, qualifications reveal more than the job title alone, and the application route gives a few useful clues. Looking at them together makes the trade-offs easier to see.

Remote flexibility can be weighed properly

The work-location pattern is “Limited location freedom”, with Remote Freedom at 52/100. One practical limit to notice is geographic eligibility is restricted to a country or region..

Qualifications reveal more than the job title alone

At least about 5 years of experience required · 1 additional stated barrier. Unstated education or experience requirements stay open rather than being assumed.

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

1 recent enabled source 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

The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.

Analysis evidence coverage

How much analysis can the current evidence support?

50%Partial analysis evidence coverage
50%
Current-sample pay positionInsufficient comparable salary sample

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Remote Freedom evidence52 / 100

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

Salary evidence qualityNo usable disclosed salary evidence

Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.

Listing freshnessAging listing

The listing was posted about 22 days ago. Verify that it is still accepting applications.

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

No standout strength is supported strongly enough to list here. That is not a negative rating.

Visible cautions

  • Geographic eligibility is restricted to a country or region.
  • The listing contains work-authorization language that may limit where the employer can hire.
  • The listing was posted about 22 days ago. Verify that it is still accepting applications.
  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.
  • This is not a standard permanent full-time arrangement; compare benefits, taxes and continuity as well as headline pay.

Still unknown

  • There is not enough comparable salary evidence to establish this job’s current pay position.
  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Some explicit entry barriers stated

EducationEducation requirement not established
Required experience evidenceAt least about 5 years of experience required
Explicit required barriers1
Explicit access signals0

Explicit requirements worth checking

  • At least about 5 years of experience required: The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.

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

Opportunity Efficiency not assessed

The current pay position is not reliable enough to weigh compensation against the stated barriers.

Explicit stated barriers

1 explicit required barrier is visible in the available wording.

Required experience evidence

The listing states at least about 5 years of required experience.

Location-freedom constraints

2 explicit Remote Freedom restriction signals are present and are shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Current comparable pay position is unavailable.
  • Education requirement 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.

Still check: At least about 5 years of experience required · 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.

Compensation intelligence

How competitive is this pay?

No High Pay Score yet

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Why this analysis?

  • This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
  • Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
  • Range quality: No disclosed range.

Employer compensation communication

Pay transparency at Udacity

Limited 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.

0/100
0%
Salary disclosure0% · 0 of 7 sampled listings
Range qualityNo disclosed salary ranges
Bonus wording0 current listings
Equity wording0 current listings
Benefits wording0 current listings
Evidence strengthModerate

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

Udacity — current opportunity snapshot

Current opportunities visible7
Salary disclosure0%
Remote-policy evidence coverage100% · 7 of 7 sampled listings
Remote share of known arrangements100%
Worldwide-remote share14%
Known hiring countries2
Sponsorship evidence coverage0% · 0 of 7 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample7 of 7 · 100% coverage
Current role-family breadth1
Stated closing-date coverage14%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days14% 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.

Compensation0% 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.

Location86% of sampled current listings

Current sampled listings with a supported country signal.

Application timing14% 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: Product (1)

Visible seniority mix: Mid-career (1) · Senior / lead (6)

Current employment-type mix: Contract (7)

Most visible hiring countries in this sample: United States (5) · United Arab Emirates (1)

Other current roles from this employer

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

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
  • 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

52/100

Limited location freedom

52%

Why this score?

  • The role is remote but the source identifies a country or regional restriction.

Location restrictions detected

  • Geographic eligibility is restricted to a country or region.
  • The listing contains work-authorization language that may limit where the employer can hire.

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?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.
  • This is not a standard permanent full-time arrangement; compare benefits, taxes and continuity as well as headline pay.

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: jobicy.com · 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.

About Us

Udacity is now an Accenture company, and exciting things are happening! We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Artificial Intelligence is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us.

You’ll be an excellent fit if you have:

  • Proven technical expertise with 5+ years of experience in Artificial Intelligence or Machine Learning
  • A passion for mentoring and helping others succeed in their learning
  • Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment
  • A deep understanding of the tech industry and emerging trends in AI and related fields
  • The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of AI

  • Proficiency in Python and API integration
  • Strong understanding of core AI/ML concepts
  • Familiarity with LLMs and Generative AI tools
  • Experience with prompt engineering and model evaluation
  • Working knowledge of ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
  • Exposure to AI frameworks (e.g., LangChain, LlamaIndex)
  • Understanding of RAG, embeddings, and vector databases
  • Ability to build or support AI-driven applications/workflows
  • Awareness of AI use cases, limitations, and ethics
  • Strong problem-solving and communication skills

Preferred:

  • Experience with cloud platforms (AWS, GCP, Azure)
  • Hands-on end-to-end AI/ML or GenAI projects

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

  1. 1:1 video calls
  2. Virtual Technical Deep-Dive Sessions
  3. Group Q&A sessions

Personal 1:1 Session:

  • Provide personalized support by addressing learner questions related to course content and projects.
  • Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

  • For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
  • For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

  • Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply?

  • Make an impact by mentoring and contributing to a vibrant, global learning community
  • Showcase your expertise and gain recognition for your technical knowledge
  • Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
  • Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission.

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture.

Let's work together to shape the future of tech education!

Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

 Accenture Equal Opportunity Statement

Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

Udacity's Values

Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist

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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
One recent renewable source
Source-class independence
One renewable source class
Last source observation
Observed in the current source window

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.

  • 1 enabled source recently observed 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.

JobicyPublisher source

The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.

Continue to applicationOpens in a new tab

Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.