2

Part Time Generative Ai Engineer Jobs (NOW HIRING)

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Knowledge of user experience (UX) best practices, including conversational AI and generative ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Reston, Virginia, USA AI Engineer The Opportunity: As an experienced engineer, you know that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Reston, Virginia, USA AI Engineer The Opportunity: As an experienced engineer, you know that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Part Time Generative Ai Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do part time generative ai engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for part time generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Generative AI Engineer, and why are they important?

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 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.
More about Part Time Generative Ai Engineer jobs
What cities are hiring for Part Time Generative Ai Engineer jobs? Cities with the most Part Time Generative Ai Engineer job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Part Time Generative Ai Engineer jobs? States with the most job openings for Part Time Generative Ai Engineer jobs include:
What job categories do people searching Part Time Generative Ai Engineer jobs look for? The top searched job categories for Part Time Generative Ai Engineer jobs are:
Infographic showing various Part Time Generative Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 80% Physical, 10% Hybrid, and 10% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Contract Equity Researcher (Generative AI - Finance)

Contract Equity Researcher (Generative AI - Finance)

S&P Global

Cambridge, MA • On-site, Remote

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


S&P Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

Role Overview

We are seeking experienced Equity Research professionals to work as domain experts on a contract basis, helping us design, test, and improve generative AI tools for financial analysis.

In this role, you will contribute your real-world expertise in equity research to shape AI systems that can reason about companies, industries, financial statements, and valuation frameworks at a professional level. This is not a traditional coverage or client-facing role; instead, you will act as a subject-matter expert whose work informs how AI systems learn to perform equity research tasks.This will be a flexible, largely remote arrangement.

Key Responsibilities

  • Produce high-quality equity research outputs used to train and evaluate AI systems, including:

    • Company and sector analyses

    • Earnings forecasts and scenario analysis

    • Valuation models (DCF, trading comps, precedent transactions)

    • Investment theses with clearly articulated risks and catalysts

  • Build and review financial models that reflect industry best practices and sound analytical judgment

  • Break down your analytical process into clear, structured reasoning that can be understood and learned by AI systems

  • Answer questions about your process and analytical thinking as your produce research outputs

  • Evaluate AI-generated research outputs for:

    • Financial accuracy

    • Logical consistency

    • Professional tone and structure

    • Data Completeness

  • Provide feedback that helps improve model performance, robustness, and realism

  • Collaborate asynchronously with research, product, and engineering teams to refine workflows and expectations

Ideal Candidate Profile

  • 3-7 years of experience in equity research, asset management, hedge funds, or related investment roles

  • Strong command of:

    • Financial statement analysis

    • Forecasting and valuation methodologies

    • Industry and company-level research frameworks

  • Ability to clearly articulate investment logic, assumptions, and trade-offs

  • High standards for analytical rigor, accuracy, and presentation

  • Comfortable working independently in a remote, project-based environment

  • Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems

Nice to Have

  • Experience writing published equity research or internal investment memos

  • Exposure to multiple sectors or global markets

  • Familiarity with how investors consume and act on research

  • Curiosity about model behavior, edge cases, and failure modes in analytical reasoning

  • Experience working with generative AI, and have perspective on what is and is not useful

At Kensho, we pride ourselves on providing top-of-market benefits, including:

  • Medical, Dental, and Vision insurance

  • 100% company paid premiums

  • Unlimited Paid Time Off

  • 26 weeks of 100% paid Parental Leave (paternity and maternity)

  • 401(k) plan with 6% employer matching

  • Generous company matching on donations to non-profit charities

  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

  • Plentiful snacks, drinks, and regularly catered lunches

  • Dog-friendly office (CAM office)

  • Bike sharing program memberships

  • Compassion leave and elder care leave

  • Mentoring and additional learning opportunities

  • Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.