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Ai Lab Jobs in Chicago, IL (NOW HIRING)

Tempus

Lab Operations Associate I

Chicago, IL · On-site

$20.25/hr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Lab Operations Associate Mon-Tues, Thurs-Fri 1p-11:30 Asset Archivist Mon-Tues, Thurs-Fri 1p-11:30 ...

Tempus

Lab Operations Associate I

Chicago, IL · On-site

$20.25/hr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Lab Operations Associate Mon-Tues, Thurs-Fri 1p-11:30 Asset Archivist Mon-Tues, Thurs-Fri 1p-11:30 ...

Tempus

Pathology Lab Coordinator I

Chicago, IL · On-site

$23.25/hr

Recent advancements in underlying technology have finally made it possible for AI to impact ... We are looking for a Pathology Lab Coordinator who will be responsible for the coordination between ...

Tempus

Pathology Lab Coordinator I

Chicago, IL · On-site

$23.25/hr

Recent advancements in underlying technology have finally made it possible for AI to impact ... We are looking for a Pathology Lab Coordinator who will be responsible for the coordination between ...

Mission Hospital

Tech - Cath Lab Tech

Glenview, IL · On-site

$3.5K/wk

This is a 4x10 days, 08:00:00-18:00:00, 10.00-4 position in the Cath Lab Tech. Must have an active ... call, AI-generated call, AI-generated text, or email-you consent to receive communications ...

The University Of Chicago

Lab/Project Manager

Chicago, IL · On-site

$55 - $65/hr

The lab is directed by Professor Melissa Baese-Berk.Job SummaryReporting to Professor Melissa Baese ... uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not ...

The University of Chicago

Lab/Project Manager

Chicago, IL · On-site

$55K - $65K/yr

The lab is directed by Professor Melissa Baese-Berk. Job Summary Reporting to Professor Melissa ... References Contact Information (required)(3) The University of Chicago uses AI-assisted tools to ...

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Ai Lab information

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How much do ai lab jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai lab in Chicago, IL is $26.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $28.70 per hour, depending on experience, location, and employer.

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Chicago, IL look for?

The top searched job categories for Ai Lab jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Ai Lab jobs?

Cities near Chicago, IL with the most Ai Lab job openings:

Ai Lab jobs near you
Infographic showing various Ai Lab job openings in Chicago, IL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,099 per year, or $26 per hour.

Artificial Intelligence Researcher

Verita AI

Mundelein, IL • On-site

Other

Posted 4 days ago

Job description

Location: San Francisco

Employment Type: Full-time

Work Model: In-person


About Verita AI

Verita AI works with leading AI companies to identify model gaps and build the human data needed to improve model performance. Verita AI operates a vetted expert network that connects specialized professionals with leading AI laboratories and human-data companies. The network comprises more than 5,000 experts across finance, medicine, law, engineering, music, and other professional domains.


We recently raised a $6 million seed round led by Kindred Ventures.


About the Role

We are hiring an Applied AI Researcher to work directly with clients on model evaluation and data strategy.


You will evaluate model performance, identify failure modes, and recommend the datasets, rubrics, expert workflows, and quality controls needed to address them. You will then work with our operations and engineering teams to turn these recommendations into scalable data programs.


What You’ll Do

  • Work with clients to understand their models, goals, and performance gaps.
  • Design evaluations for generative, multimodal, reasoning, tool-use, and agentic AI systems.
  • Analyze model outputs and benchmark results to identify and quantify failure modes.
  • Recommend data solutions such as supervised fine-tuning data, preference data, expert demonstrations, critiques, and evaluation datasets.
  • Write client proposals covering the methodology, data design, quality controls, staffing, deliverables, and expected impact.
  • Create annotation guidelines, scoring rubrics, gold-standard tasks, and evaluator-training programs.
  • Design pilot studies and measure whether data interventions improve model performance.
  • Build quality systems using calibration tasks, blind review, adjudication, and expert scoring.
  • Work with operations and engineering teams to launch and scale data pipelines.
  • Present findings and recommendations to clients.


What We’re Looking For

  • Experience in applied AI research, machine learning, model evaluation, or data-centric AI.
  • Experience evaluating foundation models or generative AI systems.
  • Strong understanding of benchmark design, human evaluation, rubric development, and statistical analysis.
  • Ability to translate model failures into practical data solutions.
  • Strong Python skills and experience working with model APIs and structured datasets.
  • Familiarity with supervised fine-tuning, preference optimization, RLHF/RLAIF, reward modeling, synthetic data, or LLM-as-a-judge evaluation.
  • Strong technical writing and client communication skills.
  • Ability to independently structure and execute ambiguous research projects.


Nice to Have

  • Experience at an AI lab, foundation-model company, AI data company, or post-training team.
  • Experience designing expert-data or human-evaluation programs.
  • Experience evaluating multimodal, coding, agentic, or tool-use systems.
  • Publications at conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP.
  • Previous client-facing research, consulting, solutions engineering, or forward-deployed experience.
  • Public research, code, benchmarks, or evaluation frameworks.


Please make sure you have any relevant work samples, including model evaluations, benchmarks, error analyses, research, technical writing, or code repositories.


Apply