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Llm Prompt Review Jobs (NOW HIRING)

iOS Engineer

Irving, TX · Hybrid

$80K - $100K/yr

Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid ... Code review, testing and documentation * Continuous learning in Generative AI related fields Salary ...

Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid ... Code review, testing and documentation * Continuous learning in Generative AI related fields ...

The role involves prompt engineering, code review, testing, and continuous learning in Generative ... BACHELOR OF COMPUTER SCIENCE Preferred : • Working experience with Gemini LLM • Hands-on ...

Senior Software Engineer - AI / Java

Boston, MA · Hybrid

$135K - $178K/yr

Develop and optimize LLM prompt engineering strategies , embedding pipelines, and AI-enhanced ... reviews * Ensure adherence to AI governance, ethical AI practices, and security/compliance ...

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

Contribute to red-teaming and safety reviews to identify risks in LLM outputs Requirements: * 2+ years of hands-on experience in prompt engineering or a closely related AI/NLP role with significant ...

Contribute to red-teaming and safety reviews to identify risks in LLM outputs Requirements: * 2+ years of hands-on experience in prompt engineering or a closely related AI/NLP role with significant ...

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Review, refine, and evolve prompts as they move into production, helping establish best practices ... Deep understanding of LLM capabilities, limitations, and quirks, with strong intuition for how ...

Senior Developer

Nashville, TN · On-site

$52.75 - $69.50/hr

Lead technical design reviews and contribute to architectural decision records (ADRs) for AI platform components LLM & Prompt Engineering * Develop, optimize, and maintain prompt pipelines for LLM ...

New

Senior Developer

Nashville, TN · Hybrid

$52.75 - $69.50/hr

Lead technical design reviews and contribute to architectural decision records (ADRs) for AI platform components LLM & Prompt Engineering * Develop, optimize, and maintain prompt pipelines for LLM ...

New

Mentor engineers through design reviews, code reviews, and technical guidance * Quickly evaluate ... LLM Prompt Engineering & Fine-Tuning: designing and evaluating effective prompts, system ...

LLM Engineer

Houston, TX

$120K - $130K/yr

This role focuses on using artificial intelligence tools, prompt engineering techniques, and ... Review, validate, and refine AI-generated content to ensure accuracy and data integrity * Support ...

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How much do llm prompt review jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for llm prompt review in the United States is $60.90, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $69.71 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in LLM Prompt Review roles, and how can they be managed?

Professionals in LLM Prompt Review roles often encounter challenges such as ensuring prompt clarity, mitigating bias, and maintaining consistency across large volumes of prompts. Balancing creativity with precision is essential, as even small changes can significantly impact model outputs. To manage these challenges, reviewers typically rely on established guidelines, peer collaboration, regular calibration sessions, and continuous feedback from model performance metrics. Staying updated on best practices and working closely with data scientists and prompt engineers also helps maintain high-quality outputs.

What is an LLM Prompt Reviewer?

An LLM Prompt Reviewer is a professional responsible for evaluating, refining, and optimizing prompts used with large language models (LLMs) like GPT-4. Their main goal is to ensure that prompts elicit accurate, useful, and safe responses from the AI. This role involves understanding both the technical and linguistic aspects of prompts, testing various phrasings, and documenting best practices. LLM Prompt Reviewers often collaborate with data scientists, AI trainers, and product teams to improve prompt quality and user experience.

What is the difference between Llm Prompt Review vs Data Annotator?

AspectLlm Prompt ReviewData Annotator
CredentialsBasic understanding of AI and NLP conceptsTypically high school diploma or equivalent, sometimes specialized training
Work EnvironmentRemote or office-based, focused on AI projectsRemote or on-site, working with datasets and labeling tools
Industry UsageUsed in AI development, NLP, and machine learning projectsUsed across various industries for data preparation and labeling
Search & Comparison IntentUnderstanding roles related to AI prompt evaluationComparing data labeling and annotation roles

While both roles involve working with data and AI, Llm Prompt Review focuses on evaluating and refining AI prompts, whereas Data Annotator involves labeling data for machine learning models. The roles differ mainly in their specific tasks and required skills, but both are essential in AI development workflows.

What are the key skills and qualifications needed to thrive as an LLM Prompt Reviewer, and why are they important?

To thrive as an LLM Prompt Reviewer, you need a strong background in linguistics, critical thinking, and AI language model behavior, often supported by experience in content moderation or NLP. Familiarity with prompt engineering tools, annotation platforms, and basic understanding of large language model systems is typically required. Attention to detail, analytical skills, and clear written communication make someone stand out in this position. These skills ensure the creation and evaluation of high-quality prompts that drive accurate, safe, and useful AI model outputs.
More about Llm Prompt Review jobs
What cities are hiring for Llm Prompt Review jobs? Cities with the most Llm Prompt Review job openings:
What states have the most Llm Prompt Review jobs? States with the most job openings for Llm Prompt Review jobs include:
iOS Engineer

$80K - $100K/yr

Other

Posted 5 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

155th of 204 rated it services


Job description

Must Have Technical/Functional Skills

  • Strong hands-on Python knowledge
  • Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
  • Working experience in Data Processing, AI enabled workflows using python
  • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
  • Basic knowledge of Hybrid prompting technique
  • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Good to have:
  • Working experience with Gemini LLM
  • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
  • Hands-On knowledge on NLP
  • Understanding of model deployment and containerization (Docker).
  • Understanding of version control systems (Git).
  • Awareness of AI compliance, data privacy, and responsible AI principles

Roles & Responsibilities
  • AI workflow development
  • Prompt engineering
  • Deployment and maintenance of AI models across all environments including Production.
  • Code review, testing and documentation
  • Continuous learning in Generative AI related fields

Salary Range: $80,000 to $100,000 per year


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About Tata Consultancy Services

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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

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Company size

10,000+ Employees

Headquarters location

Edison, NJ, US