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Part Time Prompt Engineering Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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Part Time Prompt Engineering information

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$47.5K

$101.7K

$146K

How much do part time prompt engineering jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time prompt engineering in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.

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 a solid understanding of natural language processing (NLP), creativity in language design, and familiarity with AI model behavior, often supported by a background in computer science or linguistics. Proficiency with tools like OpenAI APIs, prompt testing platforms, and version control systems (e.g., Git) is important, and certifications in AI or data science can be advantageous. Strong analytical thinking, attention to detail, and effective communication help in refining prompts and collaborating with cross-functional teams. These combined skills ensure prompts are clear, effective, and aligned with intended outcomes, resulting in optimal AI model performance.

What are some common challenges faced in a part-time prompt engineering role, and how can they be managed effectively?

Part-time prompt engineers often need to quickly adapt to changing project requirements and work with limited context compared to full-time counterparts. Balancing multiple tasks within reduced hours can make it challenging to stay updated on the latest AI model developments and best practices. To manage these challenges, effective time management, clear communication with the team, and utilizing collaborative tools are essential. Regularly reviewing project documentation and participating in knowledge-sharing sessions can also help part-time prompt engineers stay aligned with team goals and maintain high-quality outputs.

What is part time prompt engineering?

Part time prompt engineering refers to working on designing, testing, and refining prompts for artificial intelligence systems, such as large language models, on a part-time basis. Prompt engineers help improve how AI models understand and respond to user inputs by crafting effective instructions or questions. This role typically involves collaborating with teams to optimize AI outputs for specific tasks or applications. Part time positions allow for flexible work schedules, making it suitable for students or professionals seeking supplemental income.

What is the difference between Part Time Prompt Engineering vs Part Time Data Annotation?

AspectPart Time Prompt EngineeringPart Time Data Annotation
Required CredentialsBasic understanding of AI, NLP, and prompt designAttention to detail, basic data labeling skills
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, data labeling platforms
Employer & Industry UsageAI companies, tech startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding prompt design roles, freelance or part-time workData labeling tasks, annotation jobs, training data creation

Part Time Prompt Engineering involves designing and refining prompts for AI models, requiring some knowledge of NLP and AI concepts. In contrast, Part Time Data Annotation focuses on labeling data to train AI systems, emphasizing attention to detail. Both roles are common in AI development but differ in skills and daily tasks.

More about Part Time Prompt Engineering jobs
What cities are hiring for Part Time Prompt Engineering jobs? Cities with the most Part Time Prompt Engineering job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Part Time Prompt Engineering jobs? States with the most job openings for Part Time Prompt Engineering jobs include:
What job categories do people searching Part Time Prompt Engineering jobs look for? The top searched job categories for Part Time Prompt Engineering jobs are:
Part Time Prompt Engineering jobs near you
Infographic showing various Part Time Prompt Engineering job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.

Freelance Data Science Engineer (Python & SQL)

Mind Rift

Wausau, WI • On-site

$90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) Incorporate big data processing scenarios requiring scalable computational approaches Verify solutions using Python with standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: 5+ years of hands-on data science experience with proven business impact Portfolio of completed projects and publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations for data manipulation and analysis Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.

This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $90 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.

Please note that other projects on the platform may offer different earning levels based on their requirements. #J-18808-Ljbffr

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