Software Engineering Jobs in Chicago — Rex.zone

Rex.zone lists software engineering jobs in Chicago, defining the entity as roles for software engineers across backend, frontend, full-stack, DevOps, data, and ML engineering. This page helps candidates find openings tied to real AI/ML training workflows, including LLM training pipelines, RLHF tooling, prompt evaluation services, data labeling platforms, content safety systems, named entity recognition, and large language model evaluation infrastructure. Our intent is clear: explore jobs and apply directly through Rex.zone. We cover remote, contract, freelance, and full-time opportunities from AI labs, tech startups, BPOs, and annotation vendors. Positions range from entry-level to senior, often emphasizing training data quality, annotation guidelines compliance, CI/CD reliability, and model performance improvement in production.

Roles You’ll Find

Explore backend, frontend, full-stack, DevOps/SRE, platform, data engineering, machine learning engineering, MLOps, QA automation, security, mobile (iOS/Android), and cloud architecture roles. Chicago employers include AI labs, tech startups, Fortune 500 teams, BPOs, and annotation vendors hiring for NLP, computer vision, content safety, and LLM training functions.

Core Skills and Tech Stack

Common stacks include Java, Python, Go, C++, JavaScript/TypeScript, React, Node.js, .NET, Ruby, SQL and NoSQL (Postgres, MySQL, MongoDB, Redis), Kafka, Spark, Airflow, Docker, Kubernetes, Terraform, AWS/GCP/Azure, microservices, REST/gRPC/GraphQL, and robust CI/CD. ML-focused roles may require TensorFlow, PyTorch, Kubeflow, and data pipelines that impact training data quality and model performance improvement.

AI/ML-Oriented Workflows

Many teams build RLHF tooling, data labeling services, prompt evaluation frameworks, named entity recognition pipelines, computer vision annotation toolchains, content safety labeling automation, and large language model evaluation harnesses. Experience with annotation guidelines compliance, dataset versioning, and production monitoring is often valued.

Employment Types and Modifiers

Openings cover remote, hybrid, and onsite; contract, freelance, and full-time; entry-level, mid-level, senior, staff, and principal. Opportunities span NLP, computer vision, content safety, and LLM training across AI labs, tech startups, BPOs, and annotation vendors operating in the Chicago market.

Compensation

Typical Chicago software engineering compensation ranges from $110,000–$220,000 base for full-time roles, with equity or bonuses depending on seniority and employer type. Contract rates often fall between $70–$120 per hour. Actual pay varies by skills, responsibilities, and domain (e.g., LLM training pipelines, RLHF, platform engineering).

How to Apply on Rex.zone

Create your profile, upload a targeted resume, and apply directly on Rex.zone. Use keywords like training data quality, annotation guidelines compliance, large language model evaluation, CI/CD, microservices, and DevOps to match employer searches. Track applications, schedule interviews, and manage offers in one place.

Frequently Asked Questions

Q: What software engineering roles are available in Chicago on Rex.zone?
You’ll find backend, frontend, full-stack, DevOps/SRE, platform, data engineering, ML engineering, MLOps, QA automation, mobile, and security roles. Many postings involve AI/ML domains like NLP, computer vision, content safety, and LLM training pipelines.
Q: Are remote or hybrid options available?
Yes. Employers list remote, hybrid, and onsite roles. Filters on Rex.zone help you target remote, contract, freelance, full-time, entry-level, and senior positions.
Q: Which AI/ML domains appear most often?
Common domains include NLP, computer vision, content safety, RLHF, data labeling, prompt evaluation, named entity recognition, and large language model evaluation. Many teams focus on training data quality and model performance improvement.
Q: What skills do Chicago employers typically seek?
Strong CS fundamentals, system design, microservices, cloud (AWS/GCP/Azure), Docker/Kubernetes, Terraform, CI/CD, databases, and programming in Java, Python, Go, C++, or TypeScript. ML roles may need PyTorch/TensorFlow, data pipelines, and annotation guidelines compliance awareness.
Q: Which employers post roles here?
AI labs, tech startups, BPOs, annotation vendors, and enterprise R&D groups across finance, healthcare, logistics, and e-commerce. Many are building platforms for LLM training pipelines, RLHF tooling, and content safety.
Q: How do I improve my chances of getting hired?
Tailor your resume with relevant n-grams: training data quality, annotation guidelines compliance, large language model evaluation, model performance improvement, microservices, CI/CD, and Kubernetes. Showcase projects, GitHub repos, and measurable impact.
Q: What compensation should I expect?
Full-time roles often range from $110k–$220k base plus equity or bonuses; contractors may see $70–$120/hr. Senior staff/principal roles and AI-focused teams may pay more depending on experience and scope.
Q: Do you list entry-level and internship positions?
Yes. Use the entry-level filter on Rex.zone to find junior roles and internships. Highlight coursework, bootcamp projects, and internships related to NLP, computer vision, or content safety.
Q: What do typical interviews look like?
Expect coding assessments, system design, and for ML engineering, data and model evaluation topics. Some teams include take-home exercises involving prompt evaluation or dataset curation for training data quality.
Q: Is visa sponsorship or relocation available?
Some Chicago employers sponsor visas and offer relocation assistance. Check each job’s details on Rex.zone and apply to roles that match your eligibility.

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