High-Paying STEM Jobs at Rex.zone

High-paying STEM jobs on Rex.zone cover software engineering, data science, machine learning, MLOps, and AI/LLM training roles such as data labeling specialists, RLHF raters, prompt evaluators, computer vision annotators, and content safety analysts. These roles directly support LLM training pipelines, training data quality, annotation guidelines compliance, model performance improvement, and large language model evaluation across NLP and vision workflows. This page helps candidates discover remote, contract, freelance, and full-time opportunities with AI labs, tech startups, BPOs, and annotation vendors. Apply to senior or entry-level tracks and accelerate AI systems through RLHF, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling—exclusively via Rex.zone.

Job Image

About These Roles

We recruit for high-compensation STEM tracks that power modern AI: ML engineers, data scientists, MLOps engineers, research scientists, software engineers, data labeling experts, RLHF raters, prompt evaluators, NER taggers, computer vision annotators, content safety reviewers, and QA evaluation specialists. Work spans foundation model training, fine-tuning, inference optimization, evaluation, and human-in-the-loop feedback.

Hiring Tracks

Openings include: Machine Learning Engineer (NLP/CV), Data Scientist (LLM Analytics), MLOps Engineer (Training Pipelines), Software Engineer (Backend/Infra), RLHF Rater, Prompt Evaluator, Data Labeling Specialist, QA Evaluation Analyst, NER Annotator, Computer Vision Annotator (bounding boxes, segmentation), Content Safety Analyst, and Evaluation Engineer for model performance benchmarking.

AI/ML Workflows & Impact

Contribute to LLM training pipelines: dataset creation, data labeling, annotation guidelines compliance, QA evaluation, prompt evaluation, RLHF pairwise preference rating, named entity recognition, computer vision annotation, content safety labeling, adversarial red-teaming, and large language model evaluation. Your work improves training data quality, reduces noise, and drives measurable model performance improvement.

Required Skills

Strong STEM foundation in algorithms, statistics, and programming (Python, C++ or Java). Familiarity with NLP, computer vision, and LLM evaluation. Experience with labeling tools, guidelines authoring, inter-annotator agreement, quality control, and data QA. For engineering tracks: PyTorch/TensorFlow, distributed training, data pipelines, evaluation frameworks, MLOps (Docker, Kubernetes, Airflow), and monitoring. Clear communication and process discipline.

Compensation

We offer top-of-market pay aligned with role, geography, and seniority. Indicative ranges: engineering and research tracks are highly competitive with equity at AI labs and tech startups; specialized annotation and evaluation roles pay premium hourly or project rates; senior leaders may access bonus structures tied to model performance improvement and delivery milestones.

Work Models & Modifiers

Roles available as remote, contract, freelance, full-time, entry-level, and senior. Project-based and ongoing engagements are offered. Flexible schedules for evaluation and labeling tracks. Onsite options exist for secure data environments. Transparent expectations and standardized process documents ensure consistent delivery.

Domains & Employers

Domain types: NLP, computer vision, content safety, LLM training, multimodal, speech, and retrieval. Employer types: AI labs, tech startups, BPOs, annotation vendors, platform teams, and enterprise ML groups. Work includes foundation model pretraining, fine-tuning, and post-deployment evaluation.

Tools & Tech

Common stacks: Python, PyTorch, TensorFlow, Hugging Face, Weights & Biases, Ray, Triton, ONNX, Docker, Kubernetes, Airflow, Spark. Labeling platforms: segmentation and bounding box tools, NER taggers, text classification, safety taxonomies, and preference rating systems used in RLHF workflows.

Why Rex.zone

Rex.zone centralizes discovery, screening, and placement for high-paying STEM roles. We align candidates to projects where their skills directly improve LLM training pipelines and evaluation outcomes. Expect vetted employers, clear scopes, quality gates, and fair compensation.

How to Apply

Create a profile on Rex.zone, highlight domain expertise (NLP, CV, content safety), list tools, prior labeling/evaluation projects, and measurable model improvements. Upload code samples or case studies, complete a short skills assessment, and select preferred modifiers (remote, contract, full-time).

Frequently Asked Questions

  • Q: What is a high-paying STEM job in the AI/ML context?

    It’s a role that directly contributes to AI systems—engineering, research, MLOps, data labeling, RLHF, QA evaluation, and prompt evaluation—where compensation reflects impact on training data quality, evaluation rigor, and model performance improvement.

  • Q: Which roles are open now?

    We continuously recruit ML engineers, data scientists, MLOps engineers, software engineers, RLHF raters, prompt evaluators, NER annotators, computer vision annotators, content safety analysts, and QA evaluation specialists across NLP, CV, and LLM training.

  • Q: Are remote and contract options available?

    Yes. Many employers support remote, contract, freelance, and full-time arrangements. Secure data projects may require onsite or hybrid. Entry-level and senior tracks are both available.

  • Q: How does RLHF fit into these jobs?

    RLHF roles perform pairwise preference ratings and qualitative feedback to align models with human values. Results are fed into LLM training pipelines to improve safety, usefulness, and evaluation scores.

  • Q: What skills make me competitive?

    Hands-on experience with NLP or CV datasets, strict annotation guidelines compliance, QA evaluation methods, and familiarity with large language model evaluation. For engineering: strong coding, scalable pipelines, and experience with ML frameworks and MLOps.

  • Q: What employers hire through Rex.zone?

    AI labs, tech startups, BPOs, and annotation vendors seeking talent for data labeling, evaluation, MLOps, and engineering across LLM training and computer vision programs.

  • Q: How do I apply and get matched?

    Sign up on Rex.zone, complete skills and domain preferences, pass a short assessment, and our team matches you to roles that fit your expertise and compensation goals.

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.

Ready to Shape the Future of STEM?

Apply Now.