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Senior Data Labeling Specialist (Nashville

Job in Memphis, Shelby County, Tennessee, 37501, USA
Listing for: Rex.zone
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, AI Evaluation
Salary/Wage Range or Industry Benchmark: 30 - 50 USD Hourly USD 30.00 50.00 HOUR
Job Description & How to Apply Below
Position: Senior Data Labeling Specialist (Nashville)

Senior Data Labeling Jobs in Nashville (Remote) Rex.zone is hiring a Senior Data Labeling Specialist to own end-to-end data labeling and evaluation workflows for AI/ML training datasets across NLP, computer vision, and content safety. You will lead advanced annotation and reviewer-level QA, and run RLHF-style evaluations (preference ranking, rubric scoring, prompt evaluation) that connect label quality to model performance improvement.
What You Will Do

  • Label and review complex text, image, and multimodal datasets while maintaining high inter-annotator agreement.
  • Run QA evaluation programs: sampling plans, error taxonomy, root-cause analysis, and corrective actions tied to guideline compliance.
  • Perform RLHF evaluation workflows such as pairwise preference ranking, rubric-based scoring, and prompt evaluation for instruction-following and safety behavior.
  • Execute NLP labeling tasks including named entity recognition, classification, summarization evaluation, and groundedness/faithfulness checks.
  • Execute computer vision annotation such as bounding boxes, polygons, keypoints, segmentation, and attribute tagging; validate edge cases.
  • Support content safety labeling (e.g., harassment, self-harm, hate) with consistent escalation paths and audit trails.
  • Partner with engineering/ML teams to translate model failure modes into updated guidelines, new label schemas, and targeted re-annotation.
  • Document decisions, dataset specs, and QA findings to support reproducibility and dataset lineage.
Required Qualifications
  • 3+ years in data labeling/annotation or AI/ML evaluation, including QA evaluation and reviewer workflows.
  • Hands-on experience with LLM evaluation, RLHF evaluation, or structured prompt evaluation using rubrics and preference judgments.
  • Strong guideline compliance, error analysis, and understanding of how training data quality impacts model performance.
  • Experience with NLP tasks (e.g., named entity recognition, text classification) and common dataset formats/tooling.
  • Familiarity with computer vision annotation concepts and ambiguity resolution patterns.
  • Ability to write clear guidelines, make consistent decisions, and communicate edge cases cross-functionally.
Remote & Location Notes
  • Workplace:
    Remote, open to US-based candidates including Nashville, TN.
  • May align to team collaboration hours for calibration and QA sign-off meetings.
Compensation Competitive hourly base pay: $30-$50 per hour (USD).#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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