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Part Time Prompt Engineer Jobs in California (NOW HIRING)

Uare.ai

AI / Video Engineer

Los Altos, CA

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Deep understanding of prompt engineering and creative direction with AI tools * Portfolio ...

Uare.ai

AI / Video Engineer

Los Altos, CA · On-site

Working part-time with flexible hours, you'll experiment with the latest AI video generation tools ... Deep understanding of prompt engineering and creative direction with AI tools * Portfolio ...

Safran

Aftermarket Planner 3

Garden Grove, CA

$122K/yr

Evaluates shortages and manages prompt solutions keeping appropriate stakeholders informed of any ... engineering and supply chain teams to address unique challenges of aftermarket planning, such as ...

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Part Time Prompt Engineer information

What are some common challenges faced by part-time prompt engineers, and how can they effectively manage their workload?

Part-time prompt engineers often navigate unique challenges, such as balancing multiple projects or clients within a limited schedule and staying updated with rapidly evolving AI models. Effective time management and clear communication with team members are crucial to ensure that deliverables meet quality standards and deadlines. Additionally, part-time roles may require prompt engineers to quickly adapt to new tools or domains, so continuous learning and proactive collaboration with full-time staff can help bridge knowledge gaps and foster a productive work environment.

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

To thrive as a Part Time Prompt Engineer, you need expertise in natural language processing, strong analytical skills, and a background in computer science or a related field. Familiarity with AI platforms like OpenAI, prompt engineering tools, and experience with programming languages such as Python are typically required. Creativity, attention to detail, and effective communication help set apart top performers in this role. These skills are crucial for crafting high-quality prompts that improve AI outputs and ensure user satisfaction in diverse applications.

What is a Part Time Prompt Engineer?

A Part Time Prompt Engineer is someone who specializes in creating, refining, and testing prompts for AI language models, but works on a part-time basis. They help optimize the way AI systems understand and generate responses by designing effective input instructions. This role typically involves collaborating with data scientists, developers, and content teams to improve the accuracy and usefulness of AI-generated content. Part Time Prompt Engineers often have flexible hours and may work remotely or on a contract basis.
What are the most commonly searched types of Prompt Engineer jobs in California? The most popular types of Prompt Engineer jobs in California are:
What are popular job titles related to Part Time Prompt Engineer jobs in California? For Part Time Prompt Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Prompt Engineer jobs in California look for? The top searched job categories for Part Time Prompt Engineer jobs in California are:
What cities in California are hiring for Part Time Prompt Engineer jobs? Cities in California with the most Part Time Prompt Engineer job openings:
Part Time Prompt Engineer jobs near you
Infographic showing various Part Time Prompt Engineer job openings in California as of June 2026, with employment types broken down into 100% Part Time. Highlights an 60% In-person, and 40% Remote job distribution.
Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Posted 16 hours ago

Job description

Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning.


This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.


What You Will Do

  • Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases.

  • Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification.

  • Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts.

  • Maintain confidentiality and objectivity throughout the grading process.

What You Bring

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.

  • Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement.

  • Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse learner artifacts.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

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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