Remote ML Researcher Reviewer & Policy Auditor (Contractor)

AuraOne, Inc.; United States; Remote; USD 55.000 - 96.000; Teilzeit

Zusammenfassung

AuraOne, Inc. is seeking a Machine Learning Researcher (MSc. or PhD) for a remote contractor role focused on evaluating AI outputs across researcher operations workflows.

You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document the right next steps for the modeling team. Responsibilities include reviewing outputs against playbooks, maintaining inter-rater calibration, and ensuring high-quality policy applications.

Qualifikationen

• Experience in machine learning researcher operations on real teams.
• Ability to apply 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.

Aufgaben

• 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.

Kenntnisse

Operational review

Policy adherence

Workflow judgment

Stakeholder communication

ML operations

AI model evaluation

Ausbildung

MSc or PhD

Jobbeschreibung

AuraOne, Inc. is seeking a Machine Learning Researcher (MSc. or PhD) for a remote contractor role focused on evaluating AI outputs across researcher operations workflows.

You will grade workflow correctness, policy adherence, and stakeholder fit, flag risks, and document the right next steps for the modeling team. Responsibilities include reviewing outputs against playbooks, maintaining inter-rater calibration, and ensuring high-quality policy applications.