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Temporary Ai Prompt Engineer Jobs in Springfield, MA

CYNET SYSTEMS

Prompt Engineering Specialist

Hartford, CT · On-site

$55 - $60/hr

Familiarity with Snowflake Cortex or similar AI/ML platforms. * Healthcare domain knowledge ... Prompt engineering. * Snowflake Cortex. * Healthcare domain knowledge. * LLMs. * GPT. * Prompt ...

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities. • Collaborate with cross-functional teams to integrate AI-powered solutions into products and services. • Conduct ...

Deloitte

Google AI Architect

Hartford, CT

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

Deloitte

Google AI Lead Architect

Hartford, CT

$55.75 - $76.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models. * Building and deploying ...

Pwc

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

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Temporary Ai Prompt Engineer information

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How much do temporary ai prompt engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for temporary ai prompt engineer in Springfield, MA is $46.92, according to ZipRecruiter salary data. Most workers in this role earn between $35.67 and $60.62 per hour, depending on experience, location, and employer.

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI models.

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

What are the most commonly searched types of Ai Prompt Engineer jobs in Springfield, MA?

The most popular types of Ai Prompt Engineer jobs in Springfield, MA are:

What job categories do people searching Temporary Ai Prompt Engineer jobs in Springfield, MA look for?

The top searched job categories for Temporary Ai Prompt Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Temporary Ai Prompt Engineer jobs?

Cities near Springfield, MA with the most Temporary Ai Prompt Engineer job openings:

Temporary Ai Prompt Engineer jobs near you

Prompt Engineering Specialist

CYNET SYSTEMS

Hartford, CT • On-site

$55 - $60/hr

Contractor

Re-posted 20 days ago

Job description

Job Overview:

Pay Range: $55/hr - $60/hr

Requirement/Must Have:

  • 1+ years of hands-on experience with LLMs (GPT, Claude, or similar).
  • Strong understanding of prompt design patterns and chain-of-thought techniques.
  • Familiarity with Snowflake Cortex or similar AI/ML platforms.
  • Healthcare domain knowledge (Medicare STARS a plus).
  • Proficiency in Python or SQL for data interaction.

Responsibilities:

  • Design and optimize prompts for LLM-based workflows within Snowflake's agentic DTI platform.
  • Collaborate with data science and business teams to translate Medicare STARS use cases into effective AI prompts.
  • Build and test prompt pipelines for proactive member insights, intervention flagging, and score tracking.
  • Iterate on prompt performance to improve accuracy and reliability of AI-generated outputs.
  • Document prompt libraries and best practices for reuse across the team.

Skills:

  • Prompt engineering.
  • Snowflake Cortex.
  • Healthcare domain knowledge.
  • LLMs.
  • GPT.
  • Prompt design.
  • Chain-of-thought.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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