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Remote Ai Data Collection Jobs in San Ramon, CA (NOW HIRING)

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

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

Technical Product Manager, Data

San Francisco, CA · Remote

$170K - $197K/yr

Run collection operations across multiple sites and teleoperators, keeping throughput, quality, and ... A Note on AI You don't need deep AI expertise for every role, but we do expect everyone at Menlo to ...

... AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The ... This is a remote role, preferably in the Pacific time zone, with occasional travel for company ...

Showing results 21-40

Remote Ai Data Collection information

See San Ramon, CA salary details

$17

$28

$35

How much do remote ai data collection jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote ai data collection in San Ramon, CA is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $26.06 and $28.99 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What remote jobs can I do with AI?

Remote AI data collection jobs involve gathering and labeling data to train machine learning models, often requiring skills in data annotation, understanding of AI tools, and attention to detail. These roles can include image, text, or audio data labeling and are typically performed using specialized platforms or software, offering flexible schedules for qualified candidates.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

How to be a Remote AI Data Collection?

To work as a remote AI data collector, you should have strong attention to detail, good communication skills, and familiarity with data annotation tools or platforms. Many roles require basic computer skills and the ability to follow specific instructions, often with flexible schedules. Gaining experience in data labeling or annotation can improve your chances of securing such positions.
What are popular job titles related to Remote Ai Data Collection jobs in San Ramon, CA? For Remote Ai Data Collection jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in San Ramon, CA look for? The top searched job categories for Remote Ai Data Collection jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Ai Data Collection jobs? Cities near San Ramon, CA with the most Remote Ai Data Collection job openings:

AI Product Strategy Analyst

Initio Capital

San Francisco, CA • Remote

Full-time

Posted 13 days ago


Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a AI Product Strategy Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, business models, and investment themes.
  • Build target lists, market maps, competitive scans, and opportunity pipelines.
  • Analyze data, documents, websites, interviews, and public information to form concise recommendations.
  • Support strategy, sourcing, diligence, product, growth, finance, and operations projects.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.