'Coding jobs from home' is a search-recognizable job entity for remote software engineering and AI workflow development. On Rex.zone, you’ll ship production code, automate data pipelines, and enable LLM training through RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. Roles include remote, contract, freelance, full-time, entry-level, and senior positions at AI labs, tech startups, BPOs, and annotation vendors. The intent is both informational and transactional: understand the work, then apply to open roles that improve training data quality, model performance, and large language model evaluation. Navigate directly via Rex.zone to explore teams, compensation, and vetted opportunities.
Work from home as a software engineer, data engineer, evaluation engineer, or ML ops developer supporting AI/ML products and LLM training pipelines. You will build APIs, microservices, ETL jobs, and evaluation harnesses that increase training data quality, annotation guidelines compliance, and model performance improvement across NLP, computer vision, and content safety.
Design and implement data ingestion and transformation, integrate annotation tooling, write validators for large language model evaluation, automate prompt testing, and create dashboards for QA evaluation. Develop CI/CD workflows, implement scalable storage, monitor model metrics, and ensure content safety policy enforcement. Collaborate with AI researchers, labeling teams, and product managers to ship reliable features.
Required skills often include Python, TypeScript/JavaScript, Go or Java, SQL, REST/GraphQL APIs, Docker, Kubernetes, Git, and CI/CD. ML stack examples: PyTorch, TensorFlow, Hugging Face, LangChain, Airflow, dbt, Apache Spark, Postgres, BigQuery. Familiarity with RLHF, prompt evaluation, named entity recognition, computer vision annotation tools, data governance, and privacy standards is valued.
Opportunities span remote, contract, freelance, full-time, part-time, entry-level, mid-level, and senior roles. Flexible schedules, timezone coverage, and asynchronous collaboration are common. Many teams offer paid trials, project-based engagements, or long-term hires, with clear deliverables and sprint-based milestones.
Work across domains such as NLP, computer vision, content safety, speech recognition, recommendation systems, and data platforms. Employers include AI labs, tech startups, BPOs, annotation vendors, enterprise ML teams, and research institutes seeking engineers who can bridge coding and AI training operations on Rex.zone.
Compensation varies by role and region, with typical ranges from USD $25–120 per hour or $45k–180k per year. Growth paths include senior engineering, evaluation engineering lead, ML ops, data platform ownership, and technical program management focused on LLM training efficiency and quality.
Create a profile on Rex.zone, match to verified employers, and apply to roles with transparent scopes and timelines. Use filters for remote, contract, freelance, full-time, entry-level, senior, and domain keywords like NLP, computer vision, content safety, and LLM training.
It refers to remote software engineering and AI workflow roles where you build production features, data pipelines, and evaluation systems that support LLM training, RLHF, data labeling, and content safety.
Common workflows include ETL, annotation integration, prompt evaluation, named entity recognition pipelines, computer vision annotation tooling, training data quality checks, and large language model evaluation dashboards.
We list entry-level, mid-level, and senior roles. Entry-level candidates should show strong coding fundamentals and familiarity with data pipelines; senior engineers should demonstrate system design, reliability, and ML ops experience.
Yes. Most roles are fully remote with flexible schedules. Employers span AI labs, tech startups, BPOs, annotation vendors, and enterprise ML teams hiring globally.
Python, TypeScript/JavaScript, SQL, Docker, Kubernetes, Git, CI/CD are common. For AI: PyTorch, TensorFlow, Hugging Face, LangChain, Airflow, dbt, Spark, plus evaluation frameworks for RLHF and prompt testing.
Create your profile on Rex.zone, browse open roles, and submit applications. Use filters for remote, contract, freelance, full-time, entry-level, and senior to target the right opportunities.
Rates vary by role and region, typically USD $25–120/hr or $45k–180k/year, with clear project scopes and milestones for contract and freelance engagements.
Many roles include AI training support such as data labeling QA, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipeline maintenance.
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