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AuraOne / Human Data / Education & Learning Evaluation

Apply for Applied Scientists — Machine Learning (MSc. or PhD).

Applied Scientists — Machine Learning (MSc. or PhD) is a remote review track for evaluating AI outputs across applied scientists machine learning specialist operations workflows. Reviewers grade workflow correctness, policy adherence, and stakeholder fit; flag operational risk; and document the right next step so the modeling team can train on it.

Remote — US-eligible. Hourly rate confirmed after the interview process.

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At a glance

Role application

Four short steps
Role
Applied Scientists — Machine Learning (MSc. or PhD)
Workplace
Remote — US-eligible
Type
CONTRACTOR
Review
Application attached to this exact job

Role-specific application

Apply directly for Applied Scientists — Machine Learning (MSc. or PhD).

Share your profile, experience, availability, and resume. Your submission stays attached to this exact role.

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Applied Scientists — Machine Learning (MSc. or PhD)

This application is already attached to role ID aoj-eb8891ca0f2fca81c2. No separate fit questionnaire is required. Return to the active role listings if you intended to apply for a different role.

Step 2 - About you

Share your profile and availability.

Tell us where you are based, what you specialize in, and when you are available.

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Focus areas
Experience level
Step 3 - Experience

Share your resume and relevant work.

Links are optional. A resume can be supplied as a URL or as one PDF, DOC, DOCX, or a clear photo of your resume, up to 4.2 MB.

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Optional
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Resume filePDF, DOC, DOCX, or a photo of your resume - 4.2 MB max
Step 4 - Your interests

Describe the work you want to support.

Include relevant programs, the responsibilities you held, and how you prefer to collaborate.

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What happens after submission

Our team reviews your experience and fit, then contacts you when there is a relevant opportunity.

  1. 01

    Receive

    Confirm that your application and contact information arrived.

    Application received

  2. 02

    Review

    Review your experience, work samples, availability, and specialist interests.

    Team review

  3. 03

    Match

    Identify a current or future opportunity that fits your background.

    Opportunity match

  4. 04

    Onboard

    If selected, confirm the role, terms, required checks, access, and first assignment.

    Onboarding and assignment