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Llm Prompt Review Jobs (NOW HIRING)

Technogen, Inc.

Prompt Engineer

Jersey City, NJ · On-site

... review workflows, and evaluation tooling. Initial screening questions * Show how you improved a weak LLM output through prompt design and testing. * How do you evaluate prompt performance beyond ...

Compunnel

Prompt Engineer

Jersey City, NJ · On-site

Required Qualifications 4+ Years of Strong understanding of LLM behavior, prompt design ... Familiarity with prompt registries, A/B testing, human review workflows, and evaluation tooling.

NTT DATA Services

Prompt Engineer

Jersey City, NJ

$104K - $182K/yr

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role ... human review workflows, and evaluation tooling. NTT DATA provides a reasonable range of ...

Five9

Senior WEM AQM Prompt Engineer

San Francisco, CA

$123K - $169K/yr

... reviews and providing structured feedback. * Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key ...

NTT DATA Americas, Inc

Prompt Engineer

Jersey City, NJ · On-site

Prompt patterns, system instructions, response templates, and conversation policies for AIRP LLM ... human review workflows, and evaluation tooling. #LI-NorthAmerica NTT DATA provides a reasonable ...

Five9

Senior WEM AQM Prompt Engineer

San Ramon, CA · On-site

$116K - $160K/yr

... reviews and providing structured feedback. * Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key ...

Five9

Senior WEM AQM Prompt Engineer

$107K - $146K/yr

... reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key ...

Five9

OR · On-site

$104K - $143K/yr

... reviews and providing structured feedback. Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key ...

Five9

Senior WEM AQM Prompt Engineer

Dallas, TX

$103K - $142K/yr

... reviews and providing structured feedback. * Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key ...

DataSpring

Senior AI Security Engineer

$180K - $195K/yr

Establish review, testing, and gating processes for AI-generated code across frontend, backend, IaC ... Extend DLP coverage to LLM prompt submissions and completions. * Detection, monitoring, and ...

Cantina

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 ...

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Llm Prompt Review information

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How much do llm prompt review jobs pay per hour?

As of Aug 1, 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.
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Llm Prompt Review jobs near you
Infographic showing various Llm Prompt Review job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 94% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $126,666 per year, or $60.9 per hour.

GEN AI Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$90K - $130K/yr

Full-time

Re-posted 12 days ago

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: $90,000 to $130,000 per year

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