Machine Learning Engineer Talent Network

AuraOne Human Data offers a remote contract opportunity for a reviewer who evaluates AI outputs within machine learning engineer specialist operations. Earn the hourly range of USD 70 to 250 while supporting model training by assessing workflow alignment, policy compliance, and stakeholder fit, flagging operational risks, and documenting the next steps for the modeling team. This role prioritizes precise, independent work with asynchronous collaboration across regions.

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

AI outputs in machine learning engineer operations must fit into real workdays. AuraOne employs experienced operators to evaluate outputs the way a senior peer would, focusing on workflow, policy, and the unwritten rules that determine whether a task actually gets completed.

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 correct severity tag and a 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.

Work Model

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

Compensation

USD 70–250 per hour.

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.