Data Annotation Jobs (Entry Level)

Data annotation jobs (entry level) at Rex.zone are hands-on roles that create high-quality training data for AI/ML systems. As a data labeling and prompt evaluation contributor, you’ll tag text for named entity recognition, label images for computer vision, review content safety, and assess LLM outputs for RLHF and QA evaluation. This work powers LLM training pipelines and improves model performance through annotation guidelines compliance and gold-standard training data quality checks. Explore remote, contract, freelance, and full-time openings across NLP, vision, and multimodal projects. Apply on Rex.zone to start a growth path from annotator to reviewer and QA lead on real-world AI products.

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Key Responsibilities

Label datasets for text, image, audio, and video; execute prompt evaluation and preference ranking for RLHF; perform content safety labeling and policy enforcement; follow annotation guidelines with high inter-annotator agreement; document edge cases and contribute to guideline improvements; run QA evaluation passes to ensure training data quality; support large language model evaluation and error analysis; escalate ambiguous cases to reviewers.

Required Qualifications

Entry-level friendly; strong written communication and attention to detail; ability to follow complex instructions and maintain annotation guidelines compliance; comfortable working with web-based labeling tools; reliable internet and time management for remote work; basic familiarity with AI/ML concepts and data privacy best practices.

Preferred Skills

Experience with named entity recognition, sentiment analysis, and taxonomy labeling; familiarity with computer vision annotation (bounding boxes, polygons, keypoints); exposure to LLM evaluation, prompt engineering, and RLHF workflows; prior BPO or vendor annotation experience; multilingual capabilities for global NLP projects.

Tools and Workflows

Use Rex.zone workflows with browser-based labeling tools, versioned guidelines, and quality gates; collaborate in reviewer feedback loops; monitor model performance improvement via gold sets and spot checks; track productivity and accuracy metrics; work across NLP, computer vision, and multimodal datasets for LLM training pipelines.

Work Arrangements and Employers

Openings include remote, contract, freelance, part-time, and full-time roles; opportunities with AI labs, tech startups, BPOs, and annotation vendors; project domains span LLM evaluation, content safety, search relevance, OCR, speech-to-text, and image understanding; schedules vary by project with flexible shifts and global teams.

Career Growth

Advance from entry-level annotator to senior annotator, reviewer, QA specialist, and project lead; develop domain expertise in NLP, computer vision, and content safety; gain exposure to model training data pipelines and quality systems; contribute to annotation guideline design and scalable QA processes for production AI.

How to Apply

Create a Rex.zone profile, select your preferred domains (NLP, CV, content safety), choose availability (remote, contract, freelance, full-time), complete a brief skills check, and join active projects. Qualified candidates receive invites to onboarding, tool training, and paid pilot tasks.

Data Annotation Jobs (Entry Level): FAQs

  • Q: What does an entry-level data annotator do?

    You label text, images, audio, or video to create training data, complete prompt and preference evaluations for RLHF, follow annotation guidelines, and run QA checks that improve model performance.

  • Q: Is this role remote and what types of contracts are available?

    Yes. Rex.zone lists remote, contract, freelance, part-time, and full-time roles across AI labs, startups, BPOs, and annotation vendors.

  • Q: What skills are required to get started?

    Attention to detail, clear written communication, ability to follow detailed instructions, basic understanding of AI/ML data labeling, and consistent productivity with high accuracy.

  • Q: Which domains can I work in?

    Common domains include NLP (NER, sentiment, summarization), computer vision (bounding boxes, polygons), content safety labeling, search relevance, and LLM evaluation for RLHF.

  • Q: How is quality measured?

    Quality is tracked via inter-annotator agreement, gold set accuracy, reviewer audits, and adherence to annotation guidelines. Consistent high scores lead to more advanced tasks and higher pay tiers.

  • Q: What tools will I use on Rex.zone?

    Browser-based labeling tools with task queues, guideline overlays, QA dashboards, and feedback loops for continuous improvement and annotation guidelines compliance.

  • Q: How do I advance my career?

    Build domain depth, demonstrate high training data quality, mentor peers, and take on reviewer or QA responsibilities. Many annotators progress to lead or operations roles.

  • Q: How do I apply on Rex.zone?

    Create an account, complete your profile and skills check, pick project preferences, and apply to open roles. You may receive a pilot task before onboarding.

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120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

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