Senior Data Labeling Specialist (Stockholm, Remote) — United States
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ОткликнутьсяAbout The Role
Rex.zone is hiring a Senior Data Labeling Specialist to support AI/ML training workflows across NLP and computer vision projects. In this remote, full-time role you will deliver high-accuracy RLHF and evaluation datasets, drive annotation guidelines compliance, and improve training data quality that contributes to model performance improvement.
What You Will Do
• Perform complex data labeling and data annotation for LLM training pipelines, including RLHF preference ranking and QA evaluation
• Run prompt evaluation and large language model evaluation using rubrics, scoring scales, and pairwise comparisons
• Create, refine, and enforce annotation guidelines; adjudicate edge cases and document decisions for auditability
• Execute NLP tasks such as named entity recognition, text classification, toxicity, factuality checks, and summarization evaluation
• Execute computer vision annotation tasks (bounding boxes, polygons, keypoints, segmentation masks, attribute labeling)
• Perform content safety labeling (violence, self-harm, hate, sexual content) with consistent taxonomy and escalation pathways
• Conduct QA: inter-annotator agreement checks, sampling plans, error analysis, audits, and corrective feedback
• Partner with engineering and operations to improve tooling, reduce label noise, and support model performance improvement
Required Qualifications
• Mid-Senior experience in data labeling, data annotation, or QA evaluation for AI/ML datasets
• Familiarity with RLHF workflows, prompt evaluation, and LLM evaluation rubrics
• Strong understanding of annotation guidelines compliance and handling ambiguous edge cases
• Experience with training data quality methods: sampling, audits, adjudication, and error taxonomies
• Comfort working in a remote, metric-driven environment (accuracy, throughput, consistency)
How Success Is Measured
• Gold-set accuracy, audit pass rates, and reduced label noise
• Inter-annotator agreement and consistent guideline compliance
• On-time delivery, predictable throughput, and high audit readiness
Notes
This is a remote role. “Stockholm” is used for candidate search intent while work is performed remotely with distributed teams on Rex.zone.