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Remote Ai Data Rater Jobs in California (NOW HIRING)

Data Architect, Next Platform

Redwood City, CA ยท On-site +1

$150K - $200K/yr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Showing results 41-60

Remote Ai Data Rater information

What is a remote AI data rater?

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 skills and qualifications are needed to be a remote AI data rater?

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 challenges do remote AI data raters face 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 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 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:

Founding Strategic Project Lead

talentpluto

San Francisco, CA โ€ข Remote

$150K - $200K/yr

Full-time

Re-posted 7 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