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Remote Ai Model Training Jobs in Minnesota (NOW HIRING)

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

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Remote Ai Model Training information

What is the difference between Remote Ai Model Training vs Remote Data Scientist?

AspectRemote Ai Model TrainingRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentFocus on developing and training AI models, often with coding and data preprocessingData analysis, modeling, and interpretation, often involving visualization and reporting
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

Remote Ai Model Training involves developing and refining AI models through coding and data processing, while Remote Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills but differ in focus and daily tasks.

What skills and qualifications are needed for remote AI model training?

To thrive in Remote AI Model Training, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data labeling tools is typically required. Strong attention to detail, self-motivation, and effective communication are vital soft skills for working independently and collaborating virtually. These competencies ensure accurate model development, efficient workflow, and successful teamwork in a remote environment.

What are common challenges in remote AI model training and how can they be addressed?

Professionals in remote AI model training often face challenges such as coordinating across time zones, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it's important to establish clear communication channels, leverage secure data-sharing platforms, and participate in regular virtual meetings. Additionally, setting structured working hours and documenting processes can help ensure smooth collaboration and project progress, even when team members are distributed globally.

What is remote AI model training?

Remote AI model training refers to the process of developing and refining artificial intelligence models from a location outside of a traditional office or lab setting, typically via cloud-based platforms. AI professionals use remote access to powerful computing resources to train machine learning models on large datasets, collaborating with teams and managing workflows online. This approach allows flexibility, access to scalable resources, and the ability to work with global teams, making it increasingly popular in the tech industry.
What are the most commonly searched types of Ai Model Training jobs in Minnesota? The most popular types of Ai Model Training jobs in Minnesota are:
What are popular job titles related to Remote Ai Model Training jobs in Minnesota? For Remote Ai Model Training jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Ai Model Training jobs in Minnesota look for? The top searched job categories for Remote Ai Model Training jobs in Minnesota are:
Infographic showing various Remote Ai Model Training job openings in Minnesota as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

AI Training Specialist - Chemistry

micro1 AI

Minneapolis, MN โ€ข Remote

$70 - $90/hr

Part-time

Posted 8 days ago


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.