Machine Learning Researcher (MSc. or PhD)

AuraOne, Inc.

United States

A distancia

USD 55.000 - 96.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

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.

Formación

  • 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.

Responsabilidades

  • 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.

Conocimientos

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
ML operations
AI model evaluation

Educación

MSc or PhD

Descripción del empleo

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.

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) 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) 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.

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