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Assistant Prompt Engineering Jobs in California (NOW HIRING)

... assist employees in real-time * Define, test, and continually refine conversation design paths ... Partner closely with Customer Experience SMEs, Enterprise Technology, Product, and Engineering ...

... assist employees in real-time * Define, test, and continually refine conversation design paths ... Partner closely with Customer Experience SMEs, Enterprise Technology, Product, and Engineering ...

Experience using AI-enabled tools, workflow automation, or AI assistants to improve project ... prompt engineering, and AI evaluation best practices. Preferred Qualifications * Experience ...

Experience using AI-enabled tools, workflow automation, or AI assistants to improve project ... prompt engineering, and AI evaluation best practices. Preferred Qualifications * Experience ...

... tasks, prompt engineering, rule-based classifier encoding, and quality evaluations. Job ... assistant, ML Support, LLMs About PROLIM PROLIM is a leading provider of PLM, IoT and Digital ...

AI Automation Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data ... Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI ...

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data ... Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI ...

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... language models to assist technicians in troubleshooting complex industrial issues ... prompt engineering, and integrate emerging techniques into the product roadmap. Qualifications

... prompt engineering, vector databases, and cloud-native AI services. The role involves building ... AI assistants, copilots, chatbots, and automation solutions. · Develop scalable RAG pipelines ...

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Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in California? The most popular types of Prompt Engineering jobs in California are:
What are popular job titles related to Assistant Prompt Engineering jobs in California? For Assistant Prompt Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Prompt Engineering jobs in California look for? The top searched job categories for Assistant Prompt Engineering jobs in California are:
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

Re-posted 11 days 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").