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Freelance Remote Ai Training Jobs in Raleigh, NC

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

AI Training Specialist - Physics

Cary, NC · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

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Freelance Remote Ai Training information

See Raleigh, NC salary details

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$46

$128

How much do freelance remote ai training jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance remote ai training in Raleigh, NC is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $60.05 per hour, depending on experience, location, and employer.

What is a freelance remote AI training?

A Freelance Remote AI Training job involves working independently from any location to help train artificial intelligence models. This typically includes tasks like labeling data, correcting machine-generated outputs, or providing human feedback to improve AI accuracy. Freelancers in this role may work on projects such as natural language processing, image recognition, or chatbots. The job offers flexibility, allowing individuals to set their own schedules and work with multiple clients or platforms. It's a popular entry point for people interested in AI, even without advanced technical skills.

What are the key skills and qualifications needed to thrive as a freelance remote AI training specialist?

To thrive as a Freelance Remote AI Training Specialist, you need a strong understanding of AI concepts, data annotation, and quality assurance, often supported by a background in computer science or related fields. Familiarity with machine learning platforms, annotation tools, and data management systems is typically required. Attention to detail, strong communication, and self-motivation are key soft skills for success in remote and collaborative environments. These skills and qualities ensure that the data used for AI development is accurate, consistent, and valuable for effective machine learning outcomes.

How do freelance remote AI training professionals typically manage communication and collaboration with project teams?

Freelance Remote AI Training professionals often work with geographically dispersed teams, using collaboration tools such as Slack, Zoom, or project management platforms to stay connected. Clear, consistent communication is key—regular check-ins, progress updates, and feedback sessions help ensure alignment with project goals and timelines. While much of the work is independent, freelancers may also participate in virtual meetings, peer reviews, and collaborative annotation or data labeling tasks. Adapting to different workflows and communication styles is a common challenge, but building strong remote collaboration skills can lead to successful project outcomes and ongoing work opportunities.

What is the difference between Freelance Remote Ai Training vs Data Annotator?

AspectFreelance Remote Ai TrainingData Annotator
CredentialsBasic understanding of AI, machine learning, and data labeling toolsBasic data labeling skills, attention to detail
Work EnvironmentRemote, flexible schedule, project-basedRemote or on-site, often part-time or full-time
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics

Freelance Remote Ai Training involves training AI models by providing labeled data and feedback, often on a project basis. Data Annotators focus on labeling and annotating data to prepare datasets for AI algorithms. While both roles require attention to detail and familiarity with data labeling tools, Freelance Remote Ai Training emphasizes training AI models, whereas Data Annotators primarily prepare data. Both roles are remote and integral to AI development, but they differ in scope and specific tasks.

How to become a freelance remote AI trainer?

To become a freelance remote AI trainer, develop expertise in machine learning, data annotation, and relevant tools like Python or annotation platforms. Build a portfolio of training projects, gain experience through online courses or certifications, and establish a presence on freelance platforms to find clients and manage your schedule independently.

What are popular job titles related to Freelance Remote Ai Training jobs in Raleigh, NC?

For Freelance Remote Ai Training jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Freelance Remote Ai Training jobs in Raleigh, NC look for?

The top searched job categories for Freelance Remote Ai Training jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Freelance Remote Ai Training jobs?

Cities near Raleigh, NC with the most Freelance Remote Ai Training job openings:

Infographic showing various Freelance Remote Ai Training job openings in Raleigh, NC as of August 2026, with employment types broken down into 20% Full Time, 40% Part Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Cary, NC • Remote

$80 - $110/hr

Part-time

Posted 18 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.