Rex.zone coding jobs connect software engineers, ML engineers, and data tooling developers to real AI/ML training workflows. As a search‑recognizable entity, Coding Jobs include roles in backend systems, orchestration, and evaluation tooling that power RLHF, prompt evaluation, and LLM training pipelines. Candidates build microservices, APIs, and data pipelines that improve training data quality, enforce annotation guidelines compliance, and drive model performance improvement with large language model evaluation. Work spans data labeling platforms, named entity recognition, computer vision annotation, and content safety labeling. Apply on Rex.zone to explore remote, contract, freelance, full‑time, entry‑level, and senior opportunities with AI labs, tech startups, BPOs, and annotation vendors.
Join cross‑functional teams building AI training infrastructure: scalable services for data ingestion, labeling workflows, model evaluation, and deployment. You will enable RLHF pipelines, prompt evaluation, test harnesses for LLMs, and tools supporting NLP, computer vision, and content safety use cases, all anchored to hiring and project delivery through Rex.zone.
Design and ship APIs, microservices, and data pipelines; integrate labeling tools and validators; implement evaluation dashboards for large language model evaluation; enforce annotation guidelines compliance; optimize storage and retrieval for datasets; automate CI/CD; instrument telemetry for training data quality and model performance improvement; collaborate with AI labs, tech startups, BPOs, and annotation vendors.
Proficiency in Python, TypeScript/JavaScript, Go, or Java; experience with cloud (AWS, GCP, Azure), containers, and CI/CD; familiarity with ML ops tooling (Weights & Biases, MLflow), vector databases, and orchestration (Airflow, Dagster). Understanding of RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines.
Roles available as remote, contract, freelance, and full‑time. Openings span entry‑level, mid‑level, and senior. Many teams are distributed across time zones, with occasional on‑site collaboration. Rex.zone aggregates opportunities from AI labs, tech startups, BPOs, and annotation vendors for flexible engagement models.
Work in NLP (NER, summarization, prompt engineering), computer vision (image/video annotation, detection), content safety (policy labeling, moderation tooling), and platform engineering for LLM training pipelines. Projects emphasize training data quality, annotation guidelines compliance, and large language model evaluation.
Rex.zone streamlines discovery of high‑impact coding jobs, from entry‑level apprenticeships to senior engineering leadership. Our platform focuses on transparent scopes, rapid screening, and projects tied to measurable outcomes like model performance improvement, faster inference, and reliable data labeling operations.
Create a profile on Rex.zone, upload your portfolio or GitHub links, and select preferences (remote, contract, freelance, full‑time; entry‑level or senior; NLP, computer vision, content safety). Our team reviews your skills and matches you to open requisitions across AI labs, tech startups, BPOs, and annotation vendors.
We list software engineering, ML engineering, data tooling, platform and infrastructure, evaluation tooling, and full‑stack roles supporting RLHF, prompt evaluation, data labeling systems, and LLM training pipelines.
Yes. Most postings offer remote, contract, freelance, and full‑time options. You can filter by employment type and seniority (entry‑level to senior) when applying on Rex.zone.
Engineers build data pipelines, labeling platforms, validators, and evaluation dashboards that improve training data quality, ensure annotation guidelines compliance, and enable large language model evaluation and model performance improvement.
Common domains include NLP (NER, summarization), computer vision (image/video annotation), content safety labeling, and broader LLM training workflows for AI labs, tech startups, BPOs, and annotation vendors.
Strong programming (Python, TypeScript, Go, Java), cloud and CI/CD experience, data pipelines, observability, and familiarity with RLHF, prompt evaluation, QA evaluation, and dataset management for scalable LLM training.
Create an account on Rex.zone, submit your resume and code samples, set role preferences (remote, contract, freelance, full‑time), and our team will match you with suitable openings.
Yes. Entry‑level candidates can start with supervised tasks in data tooling, test automation, and evaluation scripting, progressing toward larger responsibilities as they demonstrate reliability and impact.
'%20stroke-width='1.1184'/%3e%3cline%20x1='13.9799'%20y1='14.5392'%20x2='13.9799'%20y2='0.000106738'%20stroke='url(%23paint1_linear_5108_6545)'%20stroke-width='1.1184'/%3e%3cline%20y1='-0.559198'%20x2='29.0783'%20y2='-0.559198'%20transform='matrix(-1%208.74228e-08%208.74228e-08%201%2029.0781%20136.539)'%20stroke='url(%23paint2_linear_5108_6545)'%20stroke-width='1.1184'/%3e%3cline%20y1='-0.559198'%20x2='14.5391'%20y2='-0.559198'%20transform='matrix(1.31134e-07%201%201%20-1.31134e-07%2014.5391%20122)'%20stroke='url(%23paint3_linear_5108_6545)'%20stroke-width='1.1184'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5108_6545'%20x1='29.0781'%20y1='-0.499878'%20x2='-0.000152544'%20y2='-0.49988'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23666666'/%3e%3cstop%20offset='0.336538'%20stop-color='white'/%3e%3cstop%20offset='0.495192'%20stop-color='white'/%3e%3cstop%20offset='0.653846'%20stop-color='white'/%3e%3cstop%20offset='1'%20stop-color='%23666666'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint1_linear_5108_6545'%20x1='15.0391'%20y1='14.5392'%20x2='15.0391'%20y2='0.000106877'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23585858'/%3e%3cstop%20offset='0.745192'%20stop-color='white'/%3e%3cstop%20offset='1'%20stop-color='white'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint2_linear_5108_6545'%20x1='0'%20y1='0.5'%20x2='29.0783'%20y2='0.5'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23666666'/%3e%3cstop%20offset='0.336538'%20stop-color='white'/%3e%3cstop%20offset='0.495192'%20stop-color='white'/%3e%3cstop%20offset='0.653846'%20stop-color='white'/%3e%3cstop%20offset='1'%20stop-color='%23666666'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint3_linear_5108_6545'%20x1='0'%20y1='0.5'%20x2='14.5391'%20y2='0.5'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%23585858'/%3e%3cstop%20offset='0.745192'%20stop-color='white'/%3e%3cstop%20offset='1'%20stop-color='white'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e)
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.
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.
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 Coding & Software Engineering?
Apply Now.