Junior Machine Learning Engineer [Remote]
AuraOne Human Data
Remote
- Remote job
Junior Machine Learning Engineer is a remote review track for evaluating AI outputs across junior 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.
Why this role matters
Junior 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.
Responsibilities
- Review AI outputs against current junior machine learning engineer specialist operations workflows, playbooks, and firm policy for Junior 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.
- Adjudicate disputed treatments against published playbooks or firm guidance.
- Maintain reviewer-quality scores in inter-rater calibration cycles.
Qualifications
- Direct working experience in junior machine learning engineer specialist operations on real teams for Junior 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.
Example tasks
- Grade a model's response to a real junior 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.
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
- Junior Machine Learning Engineer specialist operations
Work model
Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from 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.
Vacancy posted 23 hours ago
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