[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-coding-jobs-salary":3},{"Slug":4,"Header":5,"Ques":45,"job_category":72},"coding jobs salary",{"desc":6,"title":7,"content":8},"Rex.zone’s Coding Jobs Salary page defines the software engineer \u002F developer job entity and helps candidates explore compensation, responsibilities, and workflows across modern AI\u002FML teams. Engineers contribute to model pipelines, data engineering, RLHF prompt coding, QA evaluation, named entity recognition utilities, computer vision annotation tooling, and content safety systems that improve training data quality and model performance. This page serves both informational and transactional intent: understand salary ranges, skills, domains (NLP, CV, LLM training), and apply to roles across AI labs, tech startups, BPOs, and annotation vendors. Navigate opportunities on Rex.zone for remote, contract, freelance, full-time, entry-level, and senior openings with transparent pay, benefits, and growth paths.","Coding Jobs Salary — Apply for Software & ML Roles at Rex.zone",[9,12,15,18,21,24,27,30,33,36,39,42],{"h2":10,"desc":11},"Salary & Compensation","Typical ranges vary by location, seniority, and domain: entry-level USD $60k–$90k, mid-level $90k–$150k, senior\u002Fprincipal $150k–$250k+. Contract and freelance rates commonly span $40–$120\u002Fhour depending on stack and scope. Total rewards may include base salary, performance bonus, equity, benefits (health, PTO), learning budget, and remote stipends. Compensation is influenced by employer type (AI labs, startups, BPOs, annotation vendors), domain specialization (NLP, computer vision, content safety), and impact on model performance improvement.",{"h2":13,"desc":14},"Roles & Responsibilities","Build reliable software: APIs, microservices, data pipelines, evaluation harnesses, CI\u002FCD, and performance monitoring. Collaborate with ML researchers and data teams on training data quality, annotation guidelines compliance, prompt evaluation, RLHF tooling, NER utilities, and computer vision annotation workflows. Ship features, write tests, review code, and optimize systems for scalability, security, and cost.",{"h2":16,"desc":17},"Skills & Qualifications","Proficiency in Python, JavaScript\u002FTypeScript, Go, or C++ and modern frameworks (FastAPI, Node.js, React). Experience with PyTorch or TensorFlow, data tools (SQL, Spark), and MLOps (Airflow, Kubeflow, MLflow). Knowledge of LLM training pipelines, QA evaluation metrics, and content safety labeling systems. Strong debugging, documentation, and stakeholder communication.",{"h2":19,"desc":20},"Domains & Workflows in AI\u002FML","NLP (tokenization, named entity recognition, prompt evaluation), computer vision (image\u002Fvideo classification, detection, annotation), content safety labeling (policy frameworks, moderation tooling), and LLM training pipelines (RLHF, human-in-the-loop feedback, evaluation dashboards). Collaborate on data labeling platforms, quality assurance processes, and model performance improvement initiatives.",{"h2":22,"desc":23},"Employment Types & Work Styles","Openings include remote, hybrid, and onsite roles; full-time, contract, and freelance engagements; entry-level, mid-level, senior, and staff\u002Fprincipal tracks. Schedules accommodate sprint-based delivery, flexible hours, and global time zones for distributed teams.",{"h2":25,"desc":26},"Employer Types","Join AI labs pushing frontier models, venture-backed tech startups, enterprise product teams, BPOs handling scaled operations, or specialized annotation vendors building robust labeling platforms. Each employer type offers distinct compensation structures and growth paths.",{"h2":28,"desc":29},"Tools & Tech Stack","Git, GitHub\u002FGitLab, Docker, Kubernetes, Terraform, AWS\u002FGCP\u002FAzure, Databricks, Snowflake, Airflow, Kafka, LangChain, MLflow, Weights & Biases, and observability stacks. Testing and evaluation frameworks for large language model evaluation and data quality.",{"h2":31,"desc":32},"Career Levels & Progression","Advance from entry-level engineer to senior, staff, and principal roles with opportunities in tech leadership, ML engineering, platform engineering, and data infrastructure. Demonstrated impact on training data quality, model performance, and scalable systems drives progression and compensation growth.",{"h2":34,"desc":35},"How to Apply","Create a profile on Rex.zone, submit a resume, GitHub\u002Fportfolio links, and salary expectations. Complete a coding exercise and technical interview. Align on role scope (remote, contract, full-time) and domain focus (NLP, CV, content safety, LLM training). Apply today to explore matched openings.",{"h2":37,"desc":38},"Why Rex.zone","Purpose-built for AI\u002FML hiring with transparent salary insights, real-time market benchmarks, and roles across diverse employer types. Navigate opportunities, track applications, and engage with teams building production-grade ML systems and data pipelines.",{"h2":40,"desc":41},"Compensation Transparency","Rex.zone publishes salary bands when available and highlights factors like location, cost of living, domain specialization, and impact. Offers typically include base + bonus + equity for full-time or competitive hourly\u002Fdaily rates for contract and freelance.",{"h2":43,"desc":44},"Search Modifiers Coverage","Discover remote, contract, freelance, full-time, entry-level, and senior roles across NLP, computer vision, content safety, and LLM training. Explore jobs with AI labs, tech startups, BPOs, and annotation vendors directly on Rex.zone.",{"title":46,"content":47},"Frequently Asked Questions",[48,51,54,57,60,63,66,69],{"A":49,"Q":50},"It’s a centralized hub to understand developer compensation, compare roles across AI\u002FML domains, and apply to openings with transparent pay and requirements.","What is the Coding Jobs Salary page on Rex.zone?",{"A":52,"Q":53},"Entry-level $60k–$90k, mid-level $90k–$150k, senior $150k–$250k+. Contract rates are often $40–$120\u002Fhour. Actual offers vary by location, skills, employer type, and scope.","What salary ranges can I expect?",{"A":55,"Q":56},"Yes. Rex.zone hosts remote, hybrid, onsite, full-time, contract, and freelance roles for multiple time zones.","Are remote and contract positions available?",{"A":58,"Q":59},"Engineers build RLHF prompt tooling, evaluation pipelines, and data quality systems that support training data and model performance improvement.","How do coding roles intersect with RLHF and data labeling?",{"A":61,"Q":62},"NLP, computer vision, content safety, and LLM training pipelines, including named entity recognition and large language model evaluation.","Which domains are hiring?",{"A":64,"Q":65},"Strong coding in Python\u002FTypeScript\u002FGo\u002FC++, ML frameworks, cloud infrastructure, MLOps, data engineering, and QA evaluation practices.","What skills are most in demand?",{"A":67,"Q":68},"Create a profile, upload your resume and GitHub, set salary expectations, complete coding assessments, and apply to matched roles.","How do I apply on Rex.zone?",{"A":70,"Q":71},"AI labs, tech startups, enterprise teams, BPOs, and annotation vendors with active AI\u002FML products and pipelines.","Which employer types post jobs here?","Software Engineering"]