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From Home Ai Data Rater Jobs in California (NOW HIRING)

AI Data Engineer

Palo Alto, CA

$134K - $161K/yr

Who You Are You are an experienced data engineer with a modern AI tooling perspective. You\'ve ... We currently use a hybrid mix of working from home and in the office, with regular in-person ...

AI Data Engineer

Palo Alto, CA

$134K - $161K/yr

Who You Are You are an experienced data engineer with a modern AI tooling perspective. You've built ... We currently use a hybrid mix of working from home and in the office, with regular in-person ...

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Who You Are You are an experienced data engineer with a modern AI tooling perspective. You've built ... We currently use a hybrid mix of working from home and in the office, with regular in-person ...

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs.

We love working together to stay creative and connected, with flexibility to work from home when ... text data * Experience working with AI/ML products, especially LLMs or generative AI, with ...

You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs.

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

New

Capable of owning full lifecycle development-from ideation and prototyping through deployment ... USA LA Home Office (LAHOME) Total Rewards at GDIT: Our benefits package for all US-based employees ...

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

UJET's AI solutions empower agents, optimize customer journeys, and transform contact center ... We ingest voice recordings, chat transcripts, surveys, and ticket data from every CCaaS, CRM, and ...

AI Data Engineer

Los Angeles, CA

$123K - $148K/yr

We ingest voice recordings, chat transcripts, surveys, and ticket data from every CCaaS, CRM, and ... We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing ...

AI Data Support Associate

San Diego, CA · On-site

$62K - $63K/yr

Key Responsibilities * Assist with reviewing and organizing data generated from software testing, usability studies, AI chatbot evaluations, and backend system records. * Support software testing ...

AI & Data Solutions Architect

San Diego, CA · On-site

$67.75 - $87/hr

... from Yardi and DataFreedom, SharePoint, Argus, CoStar, GreenStreet, Measurabl, and other CRE data ... AI agents and natural language interfaces using the Microsoft Copilot and Azure AI stack governed ...

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

They are seeking an AI Data Strategist to define data requirements that enhance model improvement ... Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training ...

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. The Role We are hiring an AI Data Strategist to define the data requirements ...

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Showing results 1-20

From Home Ai Data Rater information

What is the difference between From Home Ai Data Rater vs From Home Content Moderator?

AspectFrom Home Ai Data RaterFrom Home Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, data labelingOnline platforms, social media moderation
Common Search IntentData annotation, AI training jobsContent review, community moderation jobs

Both roles are remote and require similar skills, but From Home Ai Data Raters focus on labeling data to train AI systems, while From Home Content Moderators review online content to ensure community guidelines are followed. The roles differ mainly in their purpose within the tech industry, with data raters supporting AI development and content moderators maintaining platform integrity.

What are the most commonly searched types of Ai Data Rater jobs in California? The most popular types of Ai Data Rater jobs in California are:
What cities in California are hiring for From Home Ai Data Rater jobs? Cities in California with the most From Home Ai Data Rater job openings:

$134K - $161K/yr

Full-time

Retirement, PTO

Re-posted 9 days ago


Job description

Who You Are

You are an experienced data engineer with a modern AI tooling perspective. You\'ve built and managed large-scale ingestion pipelines from discovery through to performant products in high-stakes systems. You bring a data architecture mindset, and are focused on ontologies, frameworks, documentation, and unifying value across heterogeneous sources into knowledge graphs. You are familiar with investigative products built on open-source intelligence. You\'re comfortable managing complexity across both structured and unstructured pipelines, and you\'re genuinely curious about data: its provenance, its quality, and its ultimate value to customers. You have a responsible mindset and are familiar with the legal and compliance limits on data use.

You\'re also an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work.

Who We Are

Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences. 

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. 

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What a Great Candidate Looks Like

  • US Citizen
  • 4+ years of professional experience, including graduate or Ph.D. work if relevant
  • Technical education
  • Forward-leaning in AI coding, with traditional technical training as a foundation
  • Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
  • Database management experience: PostgreSQL, RDS
  • Core stack: Python. Helpful: Spark/PySpark, Scala, and other large-scale data tooling
  • Experience with large data pipelines, high-performance computing, and Spark/PySpark
  • Solid AWS cloud management experience
  • Knowledge-graph and ontology frameworks (e.g., Neo4j)
  • Self-driven, mission-driven, curious, and constructive — a startup mindset with strong communication skills
  • Ability to provide references and meet in person

The Opportunity We Offer

As an AI Data Engineer on Quantifind\'s AI Systems team, you\'ll drive data prototyping and experimental ETL pipelines.

Data Engineering: 

  • Drive data discovery, open-source intelligence (OSINT) and related data acquisition, and commercial data ingestion.
  • Build and manage reliable ETL pipelines with a focus on speed from discovery to value, including database indexing, performance tuning, concurrency, and load balancing.
  • Perform data quality assurance and independent testing.
  • Work across structured and unstructured data parsing, enrichment, data architecture, ontology management, knowledge graphs, and data fusion.
  • Manage data compliance, documentation, and data cards.

Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. Remote candidates will be considered for this role. If in person, minimum 3 days per week in office.

Quantifind\'s development team is centered in Palo Alto, California, with technology hubs in Atlanta, Georgia, and Washington, D.C. We currently use a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. Remote candidates will be considered; if in person, minimum 3 days per week in office.

A highlight of our benefits:

  • Competitive salary
  • Company Equity
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan
  • A fun environment where work-life balance is valued

The base salary range for this full-time position is $160k to $200k. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!