AuraOne Human Data is seeking a remote contract reviewer to evaluate AI outputs across machine learning engineer specialist operations workflows. The role involves grading workflow correctness, policy adherence, and stakeholder fit, flagging operational risk, and documenting the next action so the modeling team can train on it.
Responsibilities
- Assess AI outputs against current machine learning engineer specialist operations workflows, playbooks, and firm policy for Machine Learning Engineer assignments.
- Grade tone, escalation logic, and stakeholder fit using a structured rubric.
- Flag operational risk, missed escalations, and policy-adherence gaps with severity tagging.
- Capture the recommended 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.
Requirements
- Direct working experience in machine learning engineer specialist operations on real teams for Machine Learning Engineer 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.
Why this role matters
Machine Learning Engineer specialist operations AI needs grounding in real work scenarios. AuraOne relies on experienced operators to assess outputs with the same rigor as a senior peer, verifying workflow alignment, policy compliance, and the informal rules that determine whether a task gets completed.
Example tasks
- Grade a model's response to an actual machine learning engineer specialist operations ticket and evaluate workflow, tone, and escalation.
- Identify a missed escalation with the appropriate severity tag and a corrected next step.
- Resolve a disputed playbook call between two reviewers in line with firm guidance.
- Audit a 25-row batch for rubric consistency and report any 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 Engineer specialist operations
Work model
Remote — US-eligible. Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from the 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.
