1

Ai Contributor Jobs in Raleigh, NC (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

next page

Showing results 1-20

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.

AI Trainer - Microbiology Expert

micro1 AI

Cary, NC • Remote

$70 - $90/hr

Part-time

Posted 20 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.