Virtual Coding Jobs — Remote AI Data Labeling & LLM Evaluation

Virtual coding jobs at Rex.zone are remote roles that blend software implementation with AI/ML data operations. Professionals contribute to RLHF, data labeling, prompt evaluation, QA evaluation, and named entity recognition across NLP, computer vision annotation, and content safety labeling. These roles power LLM training pipelines and MLOps, centering on training data quality, annotation guidelines compliance, large language model evaluation, and model performance improvement for real products. Apply on Rex.zone to join AI labs, tech startups, BPOs, and annotation vendors in contract, freelance, or full-time work at entry-level and senior tiers. Typical tasks include scripting in Python/JavaScript, dataset building, validators, and benchmarking.

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About the Role

As a virtual coder, you’ll build scripts, data pipelines, and evaluation tooling that directly improve AI models. Work spans NLP prompt evaluation, computer vision annotation workflows, content safety labeling, and named entity recognition. You will design validators, automate pre/post-processing, and contribute to RLHF feedback loops to enhance model behavior in production.

Key Responsibilities

Create and maintain labeling pipelines; ensure annotation guidelines compliance; monitor training data quality; run large language model evaluation suites; perform QA evaluation and error analysis; write Python/JavaScript utilities; integrate datasets with SQL/ETL; develop prompts and rubrics; report metrics tied to model performance improvement; collaborate asynchronously via Git, issue trackers, and dashboards.

Required Skills

Proficiency in Python or JavaScript, Git, SQL, and spreadsheet analysis; familiarity with Label Studio, CVAT, or similar tools; basic ML concepts (precision/recall, F1, inter-annotator agreement); strong attention to detail; clear written communication; comfort with remote collaboration. Experience with spaCy, Hugging Face, or OpenAI APIs is a plus for LLM training and evaluation.

Work Types & Domains

Roles include remote contract, freelance, and full-time positions. Domains: NLP (prompt engineering, NER), computer vision annotation (classification, detection, segmentation), content safety labeling (policy enforcement), and LLM training pipelines (RLHF, evaluation harnesses). Opportunities range from entry-level to senior, with specialized tracks for quality assurance and MLOps.

Employer Types

Rex.zone lists openings from AI labs, tech startups, BPOs, and annotation vendors. Teams may be research-oriented, product-focused, or operations-driven, offering diverse projects—from model prototyping to large-scale production labeling and evaluation.

Compensation

Pay varies by skill and region. Typical ranges: USD $18–60 per hour for contract/freelance; USD $40k–120k annually for full-time roles. Senior roles with LLM evaluation and pipeline ownership may exceed these ranges. Employers on Rex.zone disclose specific rates in each posting.

Why Rex.zone

Rex.zone centralizes vetted virtual coding jobs, streamlined applications, and skills assessments aligned with real AI workflows. Candidates gain visibility with employer types across the ecosystem and receive guidance on annotation guidelines compliance, training data quality, and measurable model performance improvement.

How to Apply

Create a profile on Rex.zone, upload your portfolio, list tools and domains, and complete skills checks. Tailor applications by domain (NLP, computer vision, content safety). Include examples of evaluation reports, prompts, and code utilities that demonstrate large language model evaluation and QA evaluation experience.

Frequently Asked Questions

  • Q: What are virtual coding jobs?

    They are remote roles blending software implementation with AI data operations: RLHF contributions, data labeling, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling for LLM training pipelines.

  • Q: Which skills help me succeed?

    Python/JavaScript, SQL, Git, labeling tools (Label Studio, CVAT), ML basics (precision/recall, F1, inter-annotator agreement), and clear communication. Experience with Hugging Face, spaCy, or OpenAI APIs is useful for large language model evaluation.

  • Q: What workflows will I work on?

    Training data quality monitoring, annotation guidelines compliance, prompt evaluation, QA evaluation, error analysis, benchmark creation, dataset curation, validators, and reporting model performance improvement.

  • Q: Are jobs remote and flexible?

    Yes. Roles include remote contract, freelance, and full-time. Entry-level and senior positions are available depending on experience and domain expertise.

  • Q: Who hires through Rex.zone?

    AI labs, tech startups, BPOs, and annotation vendors post openings. Employers span research, product, and operations teams.

  • Q: How do I apply on Rex.zone?

    Create your Rex.zone profile, complete skill assessments, and submit tailored applications. Include code samples, evaluation reports, and labeling case studies that align with the job domain.

  • Q: What compensation should I expect?

    Typical ranges are USD $18–60 per hour for contract/freelance and USD $40k–120k for full-time. Rates vary by region, level, and domain specialization.

  • Q: Is prior ML experience required?

    Entry-level roles focus on careful labeling and guideline adherence. Senior roles involve evaluation harnesses, pipeline automation, and analysis driving model performance improvement.

  • Q: Which tools will I use day to day?

    GitHub, Jupyter, SQL databases, Label Studio, CVAT, annotation dashboards, experiment trackers, and occasionally Hugging Face, spaCy, or OpenAI tools for LLM evaluation.

  • Q: How is quality measured?

    By training data quality metrics, annotation guidelines compliance, inter-annotator agreement, precision/recall/F1, and the impact on large language model evaluation and downstream model performance improvement.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated—it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

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