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Remote Ai Rater Jobs in California (NOW HIRING)

Qvest US

Manager - Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

Qvest US

Manager - Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

Qvest US

Senior Manager, Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

Vercel

Software Engineer, AI Gateway

San Francisco, CA · On-site +1

$196K - $294K/yr

As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to ... remote and distributed team of engineers to build reliable, low-latency systems that handle rate ...

Qvest US

Senior Manager, Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

Qvest US

Senior Consultant - Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

Qvest US

Senior Consultant - Applied AI

Los Angeles, CA · On-site +1

Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ... rates of pay or other forms of compensation and selection for training, including internships, at ...

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Remote Ai Rater information

What is the difference between Remote Ai Rater vs Remote Content Evaluator?

AspectRemote Ai RaterRemote Content Evaluator
Required CredentialsBasic education, sometimes a degree in related fieldsBasic education, often similar credentials
Work EnvironmentRemote, flexible hours, online platformsRemote, flexible hours, online platforms
Employer & Industry UsageTech companies, AI development firmsMedia companies, content platforms
Common Search & ComparisonYesYes

The main difference between Remote Ai Rater and Remote Content Evaluator lies in their focus. Remote Ai Raters primarily assess AI-generated content to improve machine learning models, while Remote Content Evaluators review and moderate online content for quality and compliance. Both roles are remote, require similar credentials, and are used across tech and media industries. Understanding these distinctions helps job seekers identify the role that best matches their skills and career goals.

What are the most commonly searched types of Ai Rater jobs in California? The most popular types of Ai Rater jobs in California are:
What are popular job titles related to Remote Ai Rater jobs in California? For Remote Ai Rater jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ai Rater jobs in California look for? The top searched job categories for Remote Ai Rater jobs in California are:
What cities in California are hiring for Remote Ai Rater jobs? Cities in California with the most Remote Ai Rater job openings:
Remote Ai Rater jobs near you
Infographic showing various Remote Ai Rater job openings in California as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.
AI Data Engineer - Scientific Data Platforms (Remote)

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Posted 10 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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