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Ai Contributor Jobs in Addison, IL (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Contribute to identifying and prototyping high-value AI use cases in partnership with business, engineering, and lab-services stakeholders * Translate defined requirements from product managers and ...

New

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

AI Engineer

Naperville, IL · On-site

$120K - $145K/yr

Job Summary The AI Engineer is a midlevel individual contributor on PTMA's Data & AI team, reporting to the Manager of Data & AI Engineering. You will help build and refine how PTMA uses AI day to ...

Bank is seeking an AI Scientist to join the Artificial Intelligence Center of Excellence (AI CoE ... Contribute to patents, technical publications, whitepapers, prototypes, and innovation initiatives.

AI Solutions Architect

Lincolnshire, IL · On-site

$66.25 - $87.50/hr

This individual will also contribute to establishing best practices, integration patterns, and governance approaches across a growing portfolio of AI initiatives. Key Responsibilities * Design end-to ...

This role works under the guidance of senior team members, contributing to low-code AI agent development and helping teams begin integrating AI into their everyday workflows. Invenergy follows a ...

This role works under the guidance of senior team members, contributing to low-code AI agent development and helping teams begin integrating AI into their everyday workflows. Invenergy follows a ...

AI Engineer

Chicago, IL · On-site

$140 - $150/hr

... contributing to a company known for its expertise and commitment to excellence. What We Offer ... Create transformative AI systems with measurable impact - Design and deploy production-ready ...

New

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... contributing to a company known for its expertise and commitment to excellence. What We Offer ... Create transformative AI systems with measurable impact - Design and deploy production-ready ...

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... contributing to a company known for its expertise and commitment to excellence. What We Offer ... Create transformative AI systems with measurable impact - Design and deploy production-ready ...

As an AI Functional team member in Crowe's Consulting Practice , your role will focus on helping ... Contributing to user stories, requirements analysis, testing plans, and documentation to support ...

Showing results 41-60

Ai Contributor information

What is an AI contributor?

AI Contributors are individuals who help develop, improve, or maintain artificial intelligence systems. They may work on tasks such as data labeling, training machine learning models, writing code, or providing expertise on specific domains. AI Contributors can be researchers, engineers, data annotators, or even community volunteers who participate in open-source AI projects. Their work is essential for advancing AI technologies and ensuring that these systems are accurate, fair, and useful.

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

To thrive as an AI Contributor, you need a solid background in computer science, mathematics, and machine learning, often supported by relevant degrees or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are typically required. Creativity, problem-solving, and strong collaboration skills help AI Contributors innovate and work effectively in multidisciplinary teams. These skills ensure the successful development, implementation, and continuous improvement of AI solutions that meet organizational and user needs.

How do AI contributors typically collaborate with data scientists and engineers on projects?

AI Contributors often work closely with data scientists and engineers to develop, test, and refine AI models. Collaboration usually involves participating in team meetings to discuss project requirements, sharing insights on data quality, and providing feedback on model performance. Effective communication and documentation are key, as AI Contributors must ensure their contributions align with project goals and integrate smoothly with the technical workflows managed by engineers. This collaborative structure fosters innovation and enables AI Contributors to learn from multidisciplinary teams, supporting both personal and professional growth.

What is the difference between Ai Contributor vs Data Annotator?

AspectAi ContributorData Annotator
Required CredentialsBasic technical skills, sometimes a degree in tech or related fieldMinimal formal credentials, often on-the-job training
Work EnvironmentRemote or office-based, collaborative with AI/ML teamsPrimarily remote or on-site, focused on data labeling tasks
Industry UsageAI development, machine learning projectsData preparation for AI models
Search/Comparison IntentUnderstanding roles in AI projectsClarifying data labeling tasks for AI training

Ai Contributors and Data Annotators both play vital roles in AI development. While Ai Contributors often have some technical background and work closely with AI teams, Data Annotators focus on labeling data to train models. The roles overlap in data handling but differ in complexity and scope.

Can I get an AI Contributor job with no experience?

Entry-level AI Contributor roles are often available to candidates with minimal experience, especially if they have a strong interest in AI, basic programming skills, and familiarity with tools like Python or machine learning frameworks. Building a portfolio through online courses, projects, or certifications can improve chances of securing such positions without prior professional experience.

What job categories do people searching Ai Contributor jobs in Addison, IL look for?

The top searched job categories for Ai Contributor jobs in Addison, IL are:

What cities near Addison, IL are hiring for Ai Contributor jobs?

Cities near Addison, IL with the most Ai Contributor job openings:

Infographic showing various Ai Contributor job openings in Addison, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Machine Learning PhD Student Contributor

Cobalt

Mundelein, IL • On-site

Other

Posted 5 days ago


Key responsibilities

  • Produce written reasoning traces on complex ML problems and draft expert reference answers to technical questions

  • Evaluate model-generated technical content by comparing responses, articulating strengths, and identifying points of failure in reasoning

  • Assess whether conclusions are supported by derivations, code, or experimental evidence and contribute to project guidelines and dataset development


Job description

About the role:

Cobalt is seeking PhD-qualified machine learning researchers with direct experience designing, running, and evaluating original ML research. This opportunity is suited to researchers who have worked in academic ML labs, industry research groups, or frontier lab environments, and who understand how technical claims are established, tested, and supported by evidence.

You may currently work, or have previously worked, as a PhD candidate, Postdoctoral Researcher, Research Scientist, Research Engineer, Applied Scientist, Member of Technical Staff, or in a related role.

You do not need prior experience in data annotation or model evaluation. You must, however, have contributed meaningfully to at least one substantive ML research output, and you must be comfortable reading papers, interpreting experimental results, and judging whether stated conclusions follow from the underlying evidence.


What you'll do:

Depending on the project, you may:

  • Produce written reasoning traces on hard ML problems, capturing how you reach a solution rather than only the solution itself, and draft expert reference answers to technical questions
  • Author novel problems in your subfield that have verifiable or defensible correct answers
  • Evaluate model-generated technical content: compare and rank responses, articulate what makes the stronger one stronger, and identify the specific step at which a chain of reasoning breaks down
  • Assess whether stated conclusions are supported by the underlying derivation, code, or experimental evidence
  • Design rubrics and partial-credit criteria for scoring multistep technical tasks, and contribute subject-matter expertise to benchmark and dataset development

Projects follow their own annotation guidelines and quality standards, and you will work with feedback from reviewers and lab research teams.


Required qualifications:

  • PhD, completed or in progress, in machine learning, computer science, statistics, mathematics, physics, or a closely related quantitative discipline, with research that is substantially ML focused
  • Direct experience authoring, co-authoring, or substantively contributing to at least one ML research output, such as a peer-reviewed paper, preprint, thesis chapter, or comparable technical artifact
  • Demonstrated depth in at least one area, for example optimization, reinforcement learning, language model training and post-training, learning theory, probabilistic methods, computer vision, natural language processing, or systems for ML
  • Ability to interpret papers, derivations, code and experimental results, and to explain your reasoning clearly in writing
  • Strong attention to detail, a commitment to factual accuracy, and the ability to work independently to agreed timelines


Why join Cobalt AI:

  • Advance frontier AI where it counts. Apply your research expertise to the data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through technical problems.
  • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while deepening your understanding of how frontier models are trained and assessed.
  • Work with a top-tier network. Collaborate with researchers from leading institutions and labs on high-impact, flexible work.
  • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your research position and your life.
  • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.