Machine Learning Engineer

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

AI Trainer Jobs is seeking a Machine Learning Engineer to join a remote review track for evaluating AI outputs across machine learning engineer 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.

Machine Learning Engineer specialist operations AI has to fit into an actual day at work.

Qualifications

• 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.

Responsibilities

• Review 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 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.

Skills

Machine Learning

Operations experience

Attention to detail

Policy understanding

Written reasoning

Job description

Machine Learning Engineer is a remote review track for evaluating AI outputs across machine learning engineer 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.

Category: Education & Learning Evaluation · Pay: $60-$90 / hr · Location: Remote - US-eligible · Contractor

Machine Learning Engineer is a remote review track for evaluating AI outputs across machine learning engineer specialist operations workflows.

Role details

About the role

Machine Learning Engineer is a remote review track for evaluating AI outputs across machine learning engineer 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.
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 decide whether a task actually gets done.
Review tutoring and assessment output. Judge it against how real learners use it.

Responsibilities

• Review 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 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.Track Operations & business review Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• 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.