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Part Time Prompt Engineering Jobs (NOW HIRING)

Experience with API integrations, prompt engineering, and RPA platforms. Able to explain automation ... You can join us on a part-time basis (10-15 hours per week) as an instructor leading live sessions ...

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 25, 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 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 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 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:
Infographic showing various Part Time Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.

APTPUO-Winter 2027-DTI6302D (topic; Prompt Engineering)

Uottawa

Campus, IL

$239.47/hr

Part-time

PTO

Posted 15 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

(topic; Prompt Engineering)

Course Code:

DTI6302

Section:

D

Course Description:

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/10

Applications must be received BEFORE (YYYY/MM/DD):

2026/07/11

Expected Enrolment:

40

Approval date:

2026/06/10

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Jeudi | Thursday 17:30-20:30 - -

Requirements:

Applicants must possess or be in the process of completing a PhD in Digital Transformation and Innovation, Computer Science, Electrical Engineering, or a closely related field. The successful candidate must demonstrate expertise in Large Language Models (LLMs), prompt engineering, and applied generative AI systems, with experience designing, evaluating, and optimizing prompts for real-world applications. Required areas of expertise include advanced prompting techniques (e.g., few-shot prompting, chain-of-thought, ReAct), structured outputs, function and tool calling, retrieval-augmented generation (RAG), agentic AI workflows, and LLM evaluation methodologies. Candidates should have experience with prompt versioning, regression testing, LLM-as-judge frameworks, AI safety and reliability, and performance evaluation using human-labeled and/or benchmark datasets. Proficiency in Python and modern AI frameworks is required, along with familiarity with platforms such as Azure OpenAI, Azure AI Foundry, Vertex AI, LangSmith, or similar technologies. Evidence of teaching, teaching assistantship, curriculum development, or professional training related to AI, machine learning, or prompt engineering is considered an asset.

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.