Remote Data Annotator Jobs in Warsaw

Remote data annotator jobs in Warsaw on Rex.zone focus on training-data creation for AI/ML systems, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language model training pipelines. You will apply annotation guidelines compliance to produce training data quality that supports model performance improvement across NLP, computer vision annotation, named entity recognition, and content safety labeling. These full-time remote roles support AI labs, tech startups, BPOs, and annotation vendors building reliable LLM and multimodal models while maintaining accuracy, consistency, and privacy-aware handling of sensitive content.

Job Heading: Remote Data Annotator Jobs in Warsaw

About the Role

In this full-time remote role, you will create and evaluate training datasets used to improve large language models and multimodal AI systems. Your work includes data labeling, RLHF (Reinforcement Learning from Human Feedback) preference ranking, prompt evaluation, and QA evaluation to ensure training data quality and annotation guidelines compliance. You will collaborate with cross-functional teams to reduce ambiguity, surface edge cases, and support model performance improvement across NLP, computer vision annotation, named entity recognition, and content safety labeling workflows.

What You Will Do

You will annotate and review text, images, and conversational data according to detailed guidelines; perform RLHF preference judgments and comparative evaluations to support reinforcement learning workflows; execute prompt evaluation and large language model evaluation tasks to identify failure modes and hallucination patterns; run QA evaluation checks for consistency, inter-annotator agreement, and training data quality; label entities and relationships for named entity recognition and information extraction; support computer vision annotation tasks such as bounding boxes, polygons, keypoints, and segmentation masks; label content safety categories including harmful content, policy violations, and sensitive attributes; document edge cases, propose guideline clarifications, and communicate issues to project leads; follow secure data handling practices for privacy, confidentiality, and restricted content.

Required Qualifications

Mid-Senior experience in data annotation, data labeling, QA evaluation, or AI data operations; strong ability to follow annotation guidelines compliance and apply consistent decision-making; familiarity with large language model evaluation concepts such as preference ranking, rubric-based grading, and prompt evaluation; experience with NLP labeling tasks (classification, sentiment, NER) and/or computer vision annotation (bbox, segmentation) is preferred; ability to work independently in a remote environment with reliable internet and structured time management; comfort working with content safety labeling and potentially sensitive material; clear written communication for documenting rationales, edge cases, and feedback.

Tools and Workflows You May Use

Annotation platforms and labeling tools; QA evaluation checklists and sampling plans; taxonomy and rubric design for RLHF evaluation and prompt evaluation; issue tracking and workflow management; secure data access controls and audit-friendly documentation.

Who This Role Supports

These remote data annotator jobs support AI labs, tech startups, BPOs, and annotation vendors building NLP, computer vision, and content safety systems. Projects commonly include LLM training pipelines, large language model evaluation, RLHF datasets, named entity recognition corpora, and safety policy labeling.

Compensation

Salary range is 63360 to 126720 USD per year (FULL_TIME), depending on project scope, evaluation complexity, and QA responsibilities.

How to Apply on Rex.zone

Apply through Rex.zone by selecting the Remote Data Annotator Jobs in Warsaw listing, completing your profile, and submitting any required assessments related to data labeling, RLHF evaluation, prompt evaluation, or QA evaluation. Qualified applicants may be invited to a guideline calibration task and quality review.

Frequently Asked Questions

Q: Are these remote data annotator jobs in Warsaw fully remote?
Yes. Remote Type remains Remote, and day-to-day work is completed online with distributed teams through Rex.zone.
Q: What kind of annotation work is included?
Typical work includes data labeling, QA evaluation, RLHF evaluation (preference ranking), prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling depending on the project.
Q: Do I need experience with large language model evaluation?
Mid-Senior candidates should be comfortable with rubric-based judgments, preference comparisons, and identifying quality issues that affect model performance improvement in LLM training pipelines.
Q: Is this contract or freelance work?
This listing is FULL_TIME. Rex.zone may also host contract or freelance roles, but this posting’s Employment Type is FULL_TIME as specified.
Q: What does QA evaluation mean in data annotation?
QA evaluation involves auditing labeled data for accuracy, consistency, and annotation guidelines compliance, measuring training data quality, and resolving edge cases to reduce noise in downstream model training.
Q: What domains can projects cover?
Projects commonly span NLP, computer vision annotation, and content safety labeling, including named entity recognition, classification, segmentation, and large language model evaluation tasks.
Q: What skills should match this keyword intent?
Skills aligned with remote data annotator work include data annotation, data labeling, RLHF evaluation, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, content safety labeling, annotation guidelines compliance, training data quality, and large language model evaluation.

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