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Part Time Generative Ai Engineer Jobs in Massachusetts

TripleTen

$152K/yr

An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their ...

TripleTen

You can join us on a part-time basis , contributing as an instructor leading live sessions and ... Strong expertise in Software Engineering, AI Engineering, Machine Learning, or Data Science

Shield AI

Senior Component Engineer

Boston, MA · On-site

$140K - $210K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

TripleTen

$90 - $130/hr

We design hands-on learning experiences that help engineers apply AI tools in real-world workflows ... Competitive hourly rate of $90-$130 USD for flexible part-time collaboration, with the possibility ...

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA · On-site

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI

Electrical Engineer I (BOS) (R5046)

Boston, MA

$81K - $122K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI

Staff Electrical Engineer

Boston, MA · On-site

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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All JobsGenerative Ai Engineer JobsPart Time Generative Ai Engineer JobsPart Time Generative Ai Engineer Jobs in Massachusetts

Part Time Generative Ai Engineer information

What is a part time generative AI engineer?

A Part Time Generative AI Engineer is a professional who works on developing, implementing, or maintaining artificial intelligence models that can generate content such as text, images, or audio, but in a part-time capacity. Their work often involves building or fine-tuning machine learning models, collaborating with data scientists, and integrating AI solutions into products. Part-time roles usually offer flexible schedules, making them suitable for students, freelancers, or those seeking work-life balance. These engineers typically have skills in programming languages like Python, experience with machine learning frameworks, and a strong understanding of AI concepts.

What are the key skills and qualifications needed to thrive as a part time generative AI engineer?

A Part Time Generative AI Engineer needs strong programming skills (Python, PyTorch/TensorFlow), a background in machine learning, and a relevant degree in computer science or a related field. Experience with AI frameworks, cloud computing platforms (like AWS or GCP), and familiarity with model deployment tools are typically required. Creativity, problem-solving, and effective communication help individuals excel in this collaborative and rapidly evolving field. These abilities ensure the engineer can design, implement, and optimize generative AI models while efficiently managing part-time project commitments.

How do part time generative AI engineers typically balance project responsibilities and collaboration with full-time team members?

Part-time Generative AI Engineers often work on focused tasks or specific project modules, which allows them to contribute meaningfully without being overwhelmed by the broader scope. They usually coordinate with full-time team members through regular check-ins, agile sprint meetings, or asynchronous communication tools to stay aligned on project goals and timelines. Clear documentation, well-defined deliverables, and proactive communication are key to ensuring smooth collaboration and integration of their work. This structure also provides flexibility while maintaining accountability and progress.

What are the most commonly searched types of Generative Ai Engineer jobs in Massachusetts?

The most popular types of Generative Ai Engineer jobs in Massachusetts are:

What are popular job titles related to Part Time Generative Ai Engineer jobs in Massachusetts?

For Part Time Generative Ai Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Part Time Generative Ai Engineer jobs in Massachusetts look for?

The top searched job categories for Part Time Generative Ai Engineer jobs in Massachusetts are:

Part Time Generative Ai Engineer jobs near you
Infographic showing various Part Time Generative Ai Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Adjunct Instructor in Generative AI in Clinical Decision Support

Waltham, MA • On-site

Brandeis University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Brandeis Universityexternal

$6.5K/mo

Part-time

Re-posted 10 days ago

Job description

Brandeis University's Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 175 Generative AI in Clinical Decision Support for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics.
This course includes an examination of Large Language Models (LLMs) and generative artificial intelligence (AI) for clinical support: pilot design, prompt engineering, validation, safety, monitoring, and regulatory considerations. The course will also teach students how to assess deployment and impacts of AI in clinical workflows.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Advanced degree (Master's or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field
    • Strong knowledge of AI fundamentals and its application to healthcare in addition to a strong grasp of the ethical implications of its usage
    • Minimum of 3 years of professional experience in developing and deploying real-world AI solutions
    • Proficiency in a programming language (e.g. Python, R)
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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