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Ai Rater Jobs in Washington, DC (NOW HIRING)

AI Engineer

Washington, DC · On-site

$99K - $225K/yr

As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Fairfax, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Bowie, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Kensington, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Ashton, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Potomac, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Annandale, VA · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Engineer

Laurel, MD · On-site

$99K - $225K/yr

AI Engineer The Opportunity: As an AI engineer, you'll design and deliver production-grade AI ... and error rates * Experience optimizing performance using caching layers such as Redis ...

AI Policy Manager

Washington, DC · On-site +1

$153K/yr

Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

AI Solutions Engineer

Chantilly, VA · On-site

$170K - $210K/yr

As the AI SME , you will work with stakeholders to identify bottlenecks, optimize workflows, and ... Compensation Details: $170,000-$210,000 USD Annually The compensation range or hourly rate listed ...

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

The AI Engineer supports the development and operationalization of advanced AI and agentic AI ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

As the AI SME , you will work with stakeholders to identify bottlenecks, optimize workflows, and ... Compensation Details: $170,000-$210,000 USD Annually The compensation range or hourly rate listed ...

AI Engineer

Washington, DC · On-site

$141K - $236K/yr

The AI Engineer supports the development and operationalization of advanced AI and agentic AI ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Provide tool functions with RBAC scopes, schema versioning, rate limiting, request/response validation, and audit trails. * Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker ...

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Provide tool functions with RBAC scopes, schema versioning, rate limiting, request/response validation, and audit trails. * Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker ...

Showing results 21-40

Ai Rater information

What is an AI Rater?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What does an AI Rater do?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.

What skills and qualifications are needed to thrive as an AI Rater?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

How to become an AI Rater?

To become an AI Rater, candidates typically need a high school diploma or equivalent, strong language and analytical skills, and the ability to follow detailed guidelines. The role often involves evaluating search engine results or content for accuracy and relevance, using online platforms or specific assessment tools. Prior experience in data annotation or quality assurance can be beneficial, and flexible scheduling is common.

What are the most commonly searched types of Ai Rater jobs in Washington, DC?

The most popular types of Ai Rater jobs in Washington, DC are:

What are popular job titles related to Ai Rater jobs in Washington, DC?

For Ai Rater jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Ai Rater jobs in Washington, DC look for?

The top searched job categories for Ai Rater jobs in Washington, DC are:

Infographic showing various Ai Rater job openings in Washington, DC as of August 2026, with employment types broken down into 49% Full Time, and 51% Part Time. Highlights an 100% Remote job distribution.

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Posted 28 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Job Number: R0246911
AI Engineer
The Opportunity:
As an AI engineer, you'll design and deliver production-grade AI systems. You'll own RAG pipelines, evaluation systems, and performance optimization leveraging modern AI infrastructure and tooling to build scalable, observable, and efficient services. You'll work across the full AI application lifecycle from enterprise data ingestion and retrieval to prompt engineering, evaluation, deployment, observability, and production operations building secure, scalable AI solutions for mission-critical federal environments.
You Have:
  • 3+ years of experience building production systems, including AI / ML applications
  • Experience building LLM systems using RAG frameworks such as LangChain and LlamaIndex, or custom pipelines and vector stores with Pinecone, Weaviate, FAISS, or OpenSearch Vector Search
  • Experience designing embedding pipelines, including document ingestion, chunking strategies, indexing, met adata filtering, retrieval optimization, and hybrid search, and designing APIs and services using FastAPI, Flask, or Node.js
  • Experience with cloud-native architectures, including AWS services such as Bedrock, SageMaker, EKS or ECS, S3, IAM, Lambda, CloudWatch, and Secrets Manager, and agent frameworks and orchestration patterns such as LangGraph, tool calling, and function calling APIs
  • Experience implementing observability, including logging and tracing with OpenTele met ry, Datadog, or CloudWatch, and met rics pipelines tracking latency, throughput, token usage, cache hit rate, and error rates
  • Experience optimizing performance using caching layers such as Redis, parallelization or async workflows, and chunking and retrieval tuning, and designing automated evaluation pipelines using benchmark datasets, LLM-as-a-judge techniques, regression testing, and human evaluation workflows
  • Experience supporting production AI services, including deployment, monitoring, incident response, debugging, and performance tuning, and managing prompt templates, prompt versioning, model configurations, and structured outputs across development and production environments
  • Knowledge of AI security concepts, including prompt injection, jailbreak resistance, data leakage prevention, guardrails, secure prompt design, and responsible AI practices
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience supporting DoD clients or other federal mission environments
  • Experience with high-performance inference systems such as vLLM, Ray Serve, or Triton Inference Server
  • Experience with semantic caching and embedding reuse strategies
  • Experience with guardrail frameworks such as Rebuff, Guardrails.ai, or custom filtering systems
  • Experience integrating AI applications with enterprise data platforms and knowledge repositories such as Databricks, Snowflake, OpenSearch, PostgreSQL, SharePoint, Confluence, or S3-based document stores
  • Experience deploying AI workloads into AWS GovCloud, IL4 or IL5 environments, or other secure cloud environments
  • Experience with event-driven architectures and messaging technologies such as Amazon SQS, Kafka, RabbitMQ, or Amazon EventBridge
  • Experience with Model Context Protocol ( MCP ) or modern AI agent interoperability standards

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914