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# Machine Learning Expert

- **Company:** Human Union Data, Inc.
- **Location:** United States (Remote available)
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7368bba0a7881b06

## About the Role

* Direct working experience in machine learning specialist operations on real teams for Machine Learning Expert 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., * 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
 * Machine Learning specialist operations

Work model

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

## Description

Machine Learning Expert is a remote review track for evaluating AI outputs across machine learning 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., * Review AI outputs against current machine learning specialist operations workflows, playbooks, and firm policy for Machine Learning Expert 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., * Grade a model's response to a real machine learning 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.


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