Applied Scientists — Machine Learning (MSc. or PhD)

AuraOne, Inc.

United States

Remote

USD 55,000 - 83,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking an Applied Scientist — Machine Learning specialist operations contractor to review AI outputs and evaluate workflow adherence.

This remote role targets MSc or PhD holders, with US eligibility, to work on evaluating governance and operational risk across ML tasks. You will grade tone, escalation, and stakeholder fit using published playbooks, capture actionable next steps for the modeling team, and maintain calibration scores.

Qualifications

  • Direct working experience in applied scientists machine learning specialist operations on real teams.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the policy or workflow being applied.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current workflows, playbooks, and firm policy for Applied Scientists — Machine Learning (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.

Skills

Operational review
Policy adherence
Workflow judgment
Stakeholder communication
Applied Scientists Machine Learning

Education

MSc. or PhD in a relevant field

Job description

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.

Why this role matters

Applied Scientists Machine Learning 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 applied scientists machine learning specialist operations workflows, playbooks, and firm policy for Applied Scientists — Machine Learning (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 applied scientists machine learning specialist operations on real teams for Applied Scientists — Machine Learning (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 applied scientists machine learning 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
  • Applied Scientists Machine Learning specialist operations
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.

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

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