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Part Time Software Developer Ai Trainer Jobs in Detroit, MI

Java Trainer

Southfield, MI · On-site

$46.75 - $60.50/hr

Software Engineering principles and design patterns * certifications a plus * Excellent ... Provide training via physical and remote classroom * Conduct technical instruction using adult ...

Java Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... software engineering. * Curriculum Awareness & Adaptive Instruction: Familiar with Java curricula ...

Java Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... software engineering. * Curriculum Awareness & Adaptive Instruction: Familiar with Java curricula ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... software engineering, discrete mathematics, and theory of computation. Ability to explain time ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain computational thinking, abstraction, iteration, recursion, and software ...

Showing results 41-60

Part Time Software Developer Ai Trainer information

See Detroit, MI salary details

$13

$30

$63

How much do part time software developer ai trainer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for part time software developer ai trainer in Detroit, MI is $30.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $35.24 per hour, depending on experience, location, and employer.

How do part time software developer AI trainers typically balance project deadlines with flexible work hours?

Part Time Software Developer AI Trainers often work with project-based or milestone-driven schedules that allow for flexibility in managing their time. While this flexibility is a perk, it also requires strong self-management skills to ensure that deliverables such as code reviews, model training tasks, and feedback sessions are completed on time. Regular communication with project managers and other team members is essential to coordinate efforts and resolve any blockers efficiently. Many organizations provide collaborative tools and clear documentation to help remote trainers stay aligned with the team’s objectives and maintain productivity despite varied schedules.

What is a part time software developer AI trainer?

Part Time Software Developer AI Trainers are professionals who work part-time to help train artificial intelligence systems, often by evaluating, annotating, or generating data used to improve AI models. They typically use their programming knowledge to review, correct, or write code samples, and may provide feedback on AI-generated code or software solutions. This role is essential for developing smarter AI tools, especially those related to software development and coding tasks.

What are the key skills and qualifications needed to thrive as a part time software developer AI trainer?

To thrive as a Part Time Software Developer AI Trainer, you need a solid background in software development, familiarity with AI concepts, and usually a relevant degree in computer science or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and knowledge of collaborative platforms are typically required. Strong communication, attention to detail, and the ability to provide constructive feedback set outstanding trainers apart. These skills are crucial for effectively guiding AI model development, ensuring data quality, and enhancing both technical and team outcomes.

What is the difference between Part Time Software Developer Ai Trainer vs Part Time Data Scientist?

AspectPart Time Software Developer Ai TrainerPart Time Data Scientist
Required CredentialsProgramming skills, AI/ML knowledge, relevant certificationsStatistics, programming, data analysis certifications
Work EnvironmentTech companies, startups, remote or hybrid settingsResearch labs, tech firms, remote or office-based
Employer & Industry UsageAI development, machine learning projects, tech industryData analysis, predictive modeling, business intelligence

While both roles involve technical skills and data handling, a Part Time Software Developer Ai Trainer focuses on training AI models through coding and machine learning techniques, whereas a Part Time Data Scientist analyzes data to derive insights. The roles often overlap in skills but differ in primary focus and application within the tech industry.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Detroit, MI?

The most popular types of Software Developer Ai Trainer jobs in Detroit, MI are:

What are popular job titles related to Part Time Software Developer Ai Trainer jobs in Detroit, MI?

For Part Time Software Developer Ai Trainer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Part Time Software Developer Ai Trainer jobs in Detroit, MI look for?

The top searched job categories for Part Time Software Developer Ai Trainer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Part Time Software Developer Ai Trainer jobs?

Cities near Detroit, MI with the most Part Time Software Developer Ai Trainer job openings:

Infographic showing various Part Time Software Developer Ai Trainer job openings in Detroit, MI as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $64,332 per year, or $30.9 per hour.

Bioinformatics Software Engineer

micro1 AI

Sterling Heights, MI • Remote

$80 - $110/hr

Part-time

Posted 10 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.