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Overnight Ai Data Rater Jobs in California (NOW HIRING)

... rate, inter-annotator agreement, and pairwise preference scoring) Client Partnership ... Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery ...

Data Partnerships Lead

Los Angeles, CA

$113K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI research initiatives. In this role, you will design end-to-end data acquisition strategies ... Benefits may also be pro-rated for those who start working during the calendar year. Equal ...

Data Partnerships Lead

Palo Alto, CA

$113K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI research initiatives. In this role, you will design end-to-end data acquisition strategies ... Benefits may also be pro-rated for those who start working during the calendar year. Equal ...

Data Partnerships Lead

Palo Alto, CA · On-site

$113K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI research initiatives. In this role, you will design end-to-end data acquisition strategies ... Benefits may also be pro-rated for those who start working during the calendar year. Equal ...

Showing results 21-40

Overnight Ai Data Rater information

What is an Overnight AI Data Rater?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

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

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

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 Overnight Ai Data Rater jobs?

Cities in California with the most Overnight Ai Data Rater job openings:

Infographic showing various Overnight Ai Data Rater job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Founding Strategic Project Lead

talentpluto

San Francisco, CA • Remote

$150K - $200K/yr

Full-time

Re-posted 21 days ago


Job description

Location: Remote (United States)

Work Model: Remote

Industry: AI data / frontier AI labs

Compensation: $150K-$200K base, plus equity and profit share

About the Company

Our partner is an early-stage, fast-growing AI data startup working with frontier AI labs and top voice-model companies to deliver specialized data sets, including voice, reinforcement learning, and environment data. Backed by leading investors and one of the fastest-growing companies in its cohort, the team hit a $1M run rate within its first several weeks. This is a rare ground-floor opportunity to join as the first external hire, with substantial equity upside and a clear path into senior leadership for someone who wants to build.

The Opportunity

As the founding Strategic Project Lead, you will own delivery end to end. You will source data through a global contributor network, run quality control, help build out the QC systems, manage customer relationships, and oversee delivery against lab requirements. Projects typically run a few weeks to a month and move fast. This is an operationally heavy, high-ownership role with long hours, ideal for someone who treats it as more than a job and wants exposure to the fast-growing AI data space. There is a clear growth path from this seat toward senior leadership and operations as the team scales.

Responsibilities
  • Own end-to-end delivery of data projects against lab and customer requirements
  • Source data through and manage a global contributor network
  • Run quality control and help build out scalable QC systems
  • Manage customer relationships and coordinate across all sides of delivery
  • Operate with high agency in an unstructured, fast-moving environment
Requirements
  • Roughly 2+ years of post-college experience, with openness to high-agency new grads who have interned at a human-data startup
  • High agency and a generalist mindset, comfortable wearing multiple hats
  • Comfort thriving in an unstructured, early-stage environment
  • Willingness to take on operationally heavy work and long hours
  • Bonus: experience at a human-data startup, a background in product management, or aspirations to one day found a company