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Ai Training Jobs in Colorado (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Centennial, CO · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

micro1 AI

AI Training Specialist - Physics

Pueblo, CO · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

micro1 AI

AI Training Specialist - Physics

Boulder, CO · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

micro1 AI

AI Training Specialist - Physics

Arvada, CO · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

micro1 AI

AI Training Specialist - Physics

Thornton, CO · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

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How much do ai training jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai training in Colorado is $72,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $88,900.00 per year, depending on experience, location, and employer.

What is an AI training?

An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.

What does an AI training specialist do?

AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.

What are the key skills and qualifications needed to thrive in the AI training position?

To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.

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Ai Training jobs near you
Infographic showing various Ai Training job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $72,220 per year, or $34.7 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Centennial, CO • Remote

$80 - $110/hr

Part-time

Posted 20 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.

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