AI & Machine Learning Researcher

AI Trainer Jobs; United States; Remote; USD 90,000 - 117,000; Full time

Job summary

AI Trainer Jobs is seeking an AI & Machine Learning Researcher for a remote contractor track. You will evaluate AI outputs across researcher operations workflows, grading for workflow correctness, policy adherence, and stakeholder fit to flag operational risk and document the next steps for model training.

You will apply a structured rubric on tone, escalation logic, and policy references, then capture the right corrective actions for the modeling team.

Qualifications

• Direct working experience in ai machine learning researcher specialist operations on real teams for AI & Machine Learning Researcher work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the policy or workflow being applied.

Responsibilities

• Review AI outputs against current ai machine learning researcher specialist operations workflows, playbooks, and firm policy for AI & Machine Learning Researcher 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 $75 / hr Eligible from US

Skills

Review operations workflows

Policy adherence

Workflow judgment

Stakeholder communication

AI/ML reviewer operations

AI model evaluation

Job description

AI & Machine Learning Researcher is a remote review track for evaluating AI outputs across ai machine learning researcher 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: $75 / hr · Location: Remote — US-eligible · Contractor

AI & Machine Learning Researcher is a remote review track for evaluating AI outputs across ai machine learning researcher specialist operations workflows.

Role details

About the role

AI & Machine Learning Researcher is a remote review track for evaluating AI outputs across ai machine learning researcher 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.
AI Machine Learning Researcher 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 ai machine learning researcher specialist operations workflows, playbooks, and firm policy for AI & Machine Learning Researcher 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 $75 / hr Eligible from US

What you should bring

• Direct working experience in ai machine learning researcher specialist operations on real teams for AI & Machine Learning Researcher 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.

Role signals

Example tasks

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

Useful experience

• 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.

Compensation and schedule

$75 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Operational review
• Policy adherence
• Workflow judgment
• Stakeholder communication
• AI Machine Learning Researcher specialist operations
• AI model evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.