Machine Learning Researcher (MSc. or PhD) — Remote AI Evaluation

AuraOne, Inc.; United States; Remote; USD 55,000 - 110,000; Full time

Job summary

AuraOne, Inc. is seeking a Machine Learning Researcher to remotely evaluate AI outputs within specialist operations workflows. You will review, judge, and document outcomes to guide model training and policy adherence.

The role requires MSc or PhD and reliable async availability of at least 10 hours per week, with experience applying structured rubrics and clear written reasoning about policies and workflows.

Qualifications

• Direct experience in ML researcher operations on real teams.
• Comfort applying multi-page rubrics across long batches.
• Clear written reasoning naming the policy or workflow applied.
• Strong attention to detail and ability to flag when a prompt is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against workflows, playbooks, and firm policy for ML Researcher — Remote AI Evaluation 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.

Skills

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

Machine Learning Researcher specialist

AI model evaluation

Education

MSc or PhD in a relevant field

Job description

Machine Learning Researcher (MSc. or PhD) — Remote AI Evaluation 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.

Why this role matters

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.

Responsibilities

• Review AI outputs against current machine learning researcher specialist operations workflows, playbooks, and firm policy for Machine Learning Researcher (MSc. or PhD) — Remote AI Evaluation 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.

Qualifications

• Direct working experience in machine learning researcher specialist operations on real teams for Machine Learning Researcher (MSc. or PhD) — Remote AI Evaluation 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.

Example tasks

• Grade a model's response to a real machine learning researcher specialist operations ticket and rate workflow, tone, and escalation.
• Flag a missed escalation with the right severity tag and corrected next step.
• Adjudicate a disputed playbook call between two reviewers using firm guidance.
• Audit a 25-row batch for rubric consistency and report drift to the program lead.

Nice to have

• Prior experience training, calibrating, or QA-ing operations teams.
• Familiarity with AI-assisted workflow tooling and its failure modes.
• Bilingual experience for cross-region operations.

Skills

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

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

Direct working experience in machine learning researcher specialist operations on real teams for Machine Learning Researcher (MSc. or PhD) — Remote AI Evaluation 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.