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Ai Contributor Jobs in Raleigh, NC (NOW HIRING)

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Contribute cross-functional tasks such as financial modeling, executive presentations, strategic ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Work with the Data Platform and Systems teams to identify foundational tooling gaps and contribute clear, actionable requirements based on what you encounter in production. * Share reusable AI ...

Work with the Data Platform and Systems teams to identify foundational tooling gaps and contribute clear, actionable requirements based on what you encounter in production. * Share reusable AI ...

AI Solutions Architect

Raleigh, NC · On-site

$120 - $160/hr

Contribute to and help manage the AI project pipeline and prioritization process * Workflow Integration & Optimization * Design solutions that integrate seamlessly into existing operational and ...

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Contribute to and help manage the AI project pipeline and prioritization process * Workflow Integration & Optimization * Design solutions that integrate seamlessly into existing operational and ...

Showing results 21-40

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 are popular job titles related to Ai Contributor jobs in Raleigh, NC?

For Ai Contributor jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Ai Contributor jobs?

Cities near Raleigh, NC with the most Ai Contributor job openings:

Infographic showing various Ai Contributor job openings in Raleigh, NC as of August 2026, with employment types broken down into 11% Internship, 63% Full Time, 14% Part Time, and 12% Contract. Highlights an 57% In-person, and 43% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Durham, NC • Remote

$80 - $110/hr

Part-time

Posted 15 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.