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Rex.zone

Remote Data Labeling Jobs in Manchester

Rex.zone is hiring Remote Data Labeling Specialists targeted to Manchester candidates. You will create and review labeled datasets used to train and evaluate AI models, including NLP, computer vision, content safety labeling, and large language model evaluation workflows (RLHF and prompt evaluation).

What You Will Do

Label and review text and multimodal data for NLP and computer vision annotation tasksPerform RLHF preference ranking and QA evaluation to support large language model evaluationExecute prompt evaluation for instruction-following, truthfulness, and helpfulness signalsApply content safety labeling policies with consistent rationale and documentationTrack training data quality metrics (gold sets, consensus review, adjudication outcomes, agreement rates) and escalate guideline gapsMaintain clear audit trails: decision notes, disagreement reasons, and edge-case documentationWork in secure environments and follow data handling and confidentiality requirements

Required Qualifications

Mid-Senior experience in data labeling, data annotation, QA evaluation, or related data operations rolesStrong attention to detail and ability to follow complex annotation guidelines complianceExperience with named entity recognition (NER), classification taxonomies, or structured labeling schemasComfort working with ambiguous language and edge cases in LLM training pipelinesAbility to communicate labeling rationale clearly and consistently for reviewer alignmentStable internet connection and ability to work effectively in a fully Remote setup

Compensation

Hourly base pay range: $30–$50 per hour (USD).

Employment Type: Full-time.

Workplace Type: Remote (Manchester-targeted).

Remote Data Labeling Specialist (Manchester)

What the job involves