ZipRecruiter

Log In

1

Ai Data Rater Jobs (NOW HIRING)

3Pillar

AI Data Architect

Charleston, WV · Remote

$65.25 - $84/hr

AI Data Architect We are looking for an AI Data Architect to design, build, govern, and evolve the ... rates, and task completion success-- across all AI consumers of the platform. Architecture ...

New

QUANTUM TECHNOLOGIES LLC

AI Data Engineer

Tallahassee, FL · On-site

$90/hr

AI Data Engineer Location: Tallahassee, FL, USA Duration: 12 Months + Extension Bill Rate: $90/hr on C2C Job Type: C2C/1099 Contract Client: To Be Discussed Later Work Authorization: US-Citizen, H-1B ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... AI Data Engineer Location Syracuse, NY Campus Syracuse, NY Commitment to On-Campus Experience ... Pay Range $89,000 - $95,000 Pay Determination Pay rates at Syracuse University are based on a ...

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on ...

RWS Group

$120K - $140K/yr

But preparing AI training data is a monumental task that can take up the vast majority of AI ... Base Pay $120,000 - $140,000 / year Actual rate of pay may vary based on factors including, but not ...

RWS Group

Program Manager - Train AI Data Services

$120K - $140K/yr

But preparing AI training data is a monumental task that can take up the vast majority of AI ... Base Pay $120,000 - $140,000 / year Actual rate of pay may vary based on factors including, but not ...

RWS Group

$120K - $140K/yr

But preparing AI training data is a monumental task that can take up the vast majority of AI ... Base Pay $120,000 - $140,000 / year Actual rate of pay may vary based on factors including, but not ...

Pigment

Senior AI Data Analyst - Sales

New York, NY · On-site

$160/hr

Senior AI Data Analyst - GTM AI & Analytics Team Owns the data strategy powering the global Sales ... Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment ...

next page

Showing results 1-20

All JobsAi Data Rater Jobs

Ai Data Rater information

What is an AI Data Rater job?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What are the key skills and qualifications needed to thrive in the Ai Data Rater position, and why are they important?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What are some typical daily responsibilities for an AI Data Rater?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

More about Ai Data Rater jobs
What cities are hiring for Ai Data Rater jobs? Cities with the most Ai Data Rater job openings:
What are the most commonly searched types of Ai Data Rater jobs? The most popular types of Ai Data Rater jobs are:
What states have the most Ai Data Rater jobs? States with the most job openings for Ai Data Rater jobs include:
What job categories do people searching Ai Data Rater jobs look for? The top searched job categories for Ai Data Rater jobs are:
Ai Data Rater jobs near you
Infographic showing various Ai Data Rater job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Data Architect

3Pillar

Charleston, WV • Remote

$65.25 - $84/hr

Full-time

Posted yesterday

Job description

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.
AI Data Architect
We are looking for an AI Data Architect to design, build, govern, and evolve the single source of truth that powers every AI initiative in our organization.
This platform will serve as the foundational nervous system for conversational AI assistants, dashboard intelligence, autonomous AI agents, RAG-powered applications, predictive ML models, and any AI product we build today or in the future. The resource will architect the system, drive implementation, own the data contracts that agents and AI applications depend on, enforce security and access governance for both human and agent consumers, and continuously monitor and improve the accuracy and reliability of AI outputs that flow from this platform. 
Requirements:
Architect and own the enterprise AI data platform — the unified, governed layer that ingests, transforms, stores, and serves all data consumed by AI systems across the organisation.
Design multi-domain data models (lakehouse, data mesh, event-driven) that are structured from day one to serve AI workloads: clean lineage, versioned schemas, well-documented contracts, and low-latency serving APIs.
Strong exposure to different Data architectures, data lake & data warehouse
Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
Responsibilities
Technical Skills
Primary Skills: Python, SQL, Snowflake/Databricks, AWS (S3, Glue, EKS, Bedrock, Kinesis, Redshift), Docker, Kubernetes, Terraform, GitHub Actions, LangChain, LlamaIndex, LLM APIs (OpenAI, AWS Bedrock, Claude, HuggingFace), (Pinecone, FAISS, ChromaDB, OpenSearch), knowledge graphs (Neo4j).
Secondary Skills: MLflow, FastAPI, CI/CD pipelines, observability tooling (CloudWatch, Grafana, or equivalent), data lineage and metadata management platforms.
 
  • 15+ years of hands-on data engineering and architecture experience, alongside building production AI/ML and LLM-era data infrastructure.
  • Strong Experience with either Databricks or Snowflake; experience with both is desirable.
  • Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
  • Expertise in designing and writing ETL processes in Python / Java / Scala
  • Own the full data stack: real-time streaming (Kafka, Spark Structured Streaming), batch processing (Databricks, PySpark, Delta Lake), cloud storage and compute (AWS, Azure), and data quality /metadata management.
  • Drive modernisation of legacy pipelines (on-prem ETL, batch DWH) to cloud-native, AI-ready architectures with measurable improvements in cost, latency, and delivery velocity.
  • Proven experience designing enterprise-scale AI data platforms that serve multiple AI consumers —not just one application or pipeline.
  • Hands-on experience with vector stores, semantic models, knowledge graphs, and retrieval infrastructure in production environments.
  • Working knowledge of LLMOps: model serving pipelines, MLflow, CI/CD for AI, automated evaluation, and production monitoring.
AI Experience
RAG, Vector & Retrieval Infrastructure
Design the retrieval infrastructure that powers RAG-based AI applications: embedding pipelines, vector stores (Pinecone, FAISS, ChromaDB, OpenSearch), chunking strategies, and hybrid retrieval layers combining semantic search with structured queries.
Agentic Behaviour Observability & Output Accuracy
Own the observability stack for AI agent behaviour: instrument agents to capture inputs, retrieved context, tool calls, reasoning traces, and outputs — creating a complete audit trail of every agentic action driven by platform data.
Design and operate evaluation frameworks that continuously measure AI output quality: factual accuracy, context faithfulness, retrieval relevance, hallucination rates, and task completion success— across all AI consumers of the platform.
Architecture Standards & Engineering Enablement
Define and maintain the reference architecture for the AI data platform — documenting design patterns, data contracts, integration standards, and decision records (ADRs) that all engineering teams follow.
Establish data engineering standards: pipeline testing frameworks, code review practices, CI/CD automation, infrastructure-as-code (Terraform), reusable component libraries, and observability instrumentation.
Benefits

  • Medical Insurance benefits as per company policy. 

  • Dental insurance as per company policy.

  • Vision insurance as per company policy.

  • Employer paid Disability, Life, and AD&D insurance

  • Unlimited PTO 

  • Paid parental leave 

  • 401K

  • Flexible work policy

  • 12 Paid Holidays

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.