Machine Learning Researcher (MSc. or PhD)

Human Data / Education & Learning Evaluation

Machine Learning Researcher (MSc. or PhD)

Machine Learning Researcher (MSc.

About the role

Machine Learning Researcher (MSc. or PhD) is a remote review track for evaluating AI outputs across machine learning researcher 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.

Machine Learning Researcher specialist operations AI has to fit into an actual day at work. AuraOne uses experienced operators to grade outputs the way a senior peer would — checking workflow, policy, and the unwritten rules that decide whether a task actually gets done.

Review tutoring and assessment output. Judge it against how real learners use it.

Responsibilities

• Review AI outputs against current machine learning researcher specialist operations workflows, playbooks, and firm policy for Machine Learning Researcher (MSc. or PhD) assignments.
• Grade tone, escalation logic, and stakeholder fit on a structured rubric.
• Flag operational risk, missed escalations, and policy-adherence gaps with severity tags.
• Capture the right next step so the modeling team can train on it.
• Adjudicate disputed treatments against published playbooks or firm guidance.
• Maintain reviewer-quality scores in inter-rater calibration cycles.

What you should bring

• Direct working experience in machine learning researcher specialist operations on real teams for Machine Learning Researcher (MSc. or PhD) work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Compensation and schedule

Hourly rate confirmed after the interview process.

Expected arrangement: contractor, with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Machine Learning Researcher specialist operations
• AI model evaluation

Application process

Submitting this form sends your application directly to the recruiting team for this specialist cohort.

About AuraOne

AuraOne is a human data company for AI teams and a workflow service for enterprises. It supplies expert judgment, speech, physical-world data and checked workflows.