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Remote Ai Data Rater Jobs in California (NOW HIRING)

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

Thermo Fisher Scientific

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Company Overview: At Wayvia, we help the world's top brands stay ahead--using AI, data, and ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

You will be responsible for the "heavy lifting" required to fuel Data Science models and AI ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

You will be responsible for the "heavy lifting" required to fuel Data Science models and AI ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

Initio Capital

Market Strategy Analyst

San Francisco, CA · On-site +1

... AI, data, or automation - Prepare concise briefs, recommendations, project materials, and operating notes - Work independently in a remote, flexible environment - Collaborate with operators, founders ...

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Remote Ai Data Rater information

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

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

What are the key skills and qualifications needed to thrive as a Remote AI Data Rater, and why are they important?

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What are some common challenges faced by Remote AI Data Raters, and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What are Remote AI Data Raters?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.
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 are popular job titles related to Remote Ai Data Rater jobs in California? For Remote Ai Data Rater jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Rater jobs in California look for? The top searched job categories for Remote Ai Data Rater jobs in California are:
What cities in California are hiring for Remote Ai Data Rater jobs? Cities in California with the most Remote Ai Data Rater job openings:
Remote Ai Data Rater jobs near you
Technical Product Manager - AI & Data Platforms - 1808

Technical Product Manager - AI & Data Platforms - 1808

PlacingIT

Sunnyvale, CA • Remote

$180K - $230K/yr

Full-time

Posted 5 days ago

Job description

Senior Technical Product Manager – Data Platforms & Internal Systems (Remote – U.S.) - 1807
Location: Remote (United States)
Employment Type: Direct Hire - Full-Time Employment
Salary Range: $180,000–$230,000 Base Salary
Residency Requirements: U.S. Citizens and all other candidates authorized to work in the United States are encouraged to apply. Sponsorship is not available for this position.
About the Opportunity
We are seeking a highly technical Product Manager to lead the strategy and execution of internal data products and platform capabilities that support engineering, analytics, and business operations. This role is ideal for someone who enjoys solving complex technical challenges, working alongside engineers and data specialists, and building products that improve how internal teams operate.
This is an individual contributor position offering significant ownership, where you'll influence product direction, prioritize initiatives, and drive execution from concept through delivery.
What You'll Do
  • Define and execute the roadmap for internal data products and platform capabilities.
  • Partner closely with software engineers, data engineers, and data scientists to deliver scalable technical solutions.
  • Translate complex business and technical requirements into well-defined product specifications.
  • Prioritize initiatives using data, customer feedback from internal stakeholders, and business impact.
  • Lead product discovery, planning, backlog management, and release coordination.
  • Collaborate across engineering, operations, analytics, and leadership to ensure successful product delivery.
  • Drive improvements to internal tools, workflows, automation, and data infrastructure.
  • Use metrics and experimentation to evaluate product success and identify future opportunities.
  • Champion best practices for technical product management within a fast-paced environment.

What We're Looking For
  • 5+ years of experience in Product Management or a comparable product ownership role focused on technical products.
  • Prior hands-on experience in software engineering, data engineering, machine learning, analytics engineering, or another highly technical discipline before transitioning into Product Management.
  • Demonstrated experience delivering products centered around large-scale data, internal platforms, developer tools, or infrastructure.
  • Strong understanding of modern data architectures, data pipelines, and ETL/ELT processes.
  • Experience collaborating directly with engineering teams throughout the software development lifecycle.
  • Comfortable discussing technical concepts, APIs, databases, distributed systems, and cloud technologies.

Preferred Qualifications
  • Experience building products that leverage machine learning, analytics, or large-scale data processing.
  • Background working in startup or high-growth environments where ownership and adaptability are essential.
  • Entrepreneurial mindset or experience helping build products from the ground up.
  • Exposure to industries such as fintech, cybersecurity, AI, identity, payments, or other data-intensive domains.
  • Experience supporting internal users rather than exclusively customer-facing products.

Technical Environment
Experience with several of the following is highly desirable:
  • Python
  • AWS cloud services
  • PostgreSQL
  • Amazon Redshift
  • OpenSearch or Elasticsearch
  • Spark
  • Databricks
  • Snowflake
  • BigQuery
  • Golang
  • Data ingestion and transformation frameworks
  • API-driven architectures
  • Data modeling and analytics platforms

Ideal Background
Successful candidates typically demonstrate:
  • Strong technical credibility with engineering teams.
  • Experience owning complex, highly technical product initiatives from strategy through launch.
  • Ability to balance long-term platform investments with immediate business priorities.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • A collaborative approach and willingness to dive into technical details when needed.
  • Consistent career progression with meaningful ownership and impact.

Nice to Have
  • Experience working with internal developer platforms or operational tooling.
  • Familiarity with machine learning infrastructure or data science workflows.
  • Experience supporting cloud-native applications and distributed systems.