Machine Learning Engineer Talent Network

AuraOne Human Data is seeking a remote reviewer to support its Machine Learning Engineer Talent Network. In this contract role, you will assess AI outputs against current machine learning engineer specialist operations workflows, playbooks, and firm policy, rating tone, escalation logic, and stakeholder fit, while flagging operational risks and outlining the next steps to guide model training.

Responsibilities

• Review AI outputs against current machine learning engineer specialist operations workflows, playbooks, and firm policy for Machine Learning Engineer Talent Network 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.

Requirements

• Direct working experience in machine learning engineer specialist operations on real teams for Machine Learning Engineer Talent Network 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.

Technologies

• Python

Benefits

• 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.

Why this role matters

Machine Learning Engineer 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 determine whether a task gets done.

Example tasks

• Grade a model's response to a real machine learning engineer 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.

Skills

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• Machine Learning Engineer specialist operations
• Python

Work model

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

Compensation

$70–$250 / hr

Application process

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