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Remote Ai Data Collection Jobs in California (NOW HIRING)

Initio Capital

Data Operations 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 ...

Hume AI

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

... data collection, storage, preprocessing, and analysis. You will be working to solve some of today ... AI research problems at industry scale. Requirements * Expertise in the Python ecosystem and ...

Numentica LLC

Data / Search Specialist

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The Data / Search Specialist makes the customer's knowledge usable by generative AI systems. On an embedded enablement pod, the specialist builds the ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Hume AI

Senior/Staff AI Research Engineer

San Jose, CA · On-site +1

$180K - $350K/yr

... data collection, storage, preprocessing, and analysis. You will be working to solve some of today ... AI research problems at industry scale. Requirements * Expertise in the Python ecosystem and ...

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 ...

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Remote Ai Data Collection information

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

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 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 some common challenges faced 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.
What are the most commonly searched types of Ai Data Collection jobs in California? The most popular types of Ai Data Collection jobs in California are:
What are popular job titles related to Remote Ai Data Collection jobs in California? For Remote Ai Data Collection jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in California look for? The top searched job categories for Remote Ai Data Collection jobs in California are:
What cities in California are hiring for Remote Ai Data Collection jobs? Cities in California with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you

Data Operations Analyst

Initio Capital

San Francisco, CA • On-site, Remote

Full-time

Posted 19 days ago

Job description

ABOUT CAREER LAUNCH

Career Launch is hiring for this role and related opportunities. We work with ambitious candidates who want to be visible to recruiters reviewing active roles across strategy, consulting, finance, product, software, AI, data, operations, and business growth tracks.

THE ROLE

As a Data Operations Analyst, you will support analytical, strategic, operational, and/or technical projects that help teams understand markets, evaluate opportunities, improve processes, and execute high-impact work.

This role is a strong fit for candidates who enjoy structured problem solving, research, clear communication, project ownership, and translating messy information into practical next steps.

RESPONSIBILITIES

- Research companies, markets, workflows, customers, technologies, and business opportunities

- Analyze information and summarize findings in a clear, useful way

- Support projects across consulting, finance, strategy, operations, product, growth, software, AI, data, or automation

- Prepare concise briefs, recommendations, project materials, and operating notes

- Work independently in a remote, flexible environment

- Collaborate with operators, founders, consultants, analysts, and technical teams

WHAT WE'RE LOOKING FOR

- Strong analytical thinking and written communication

- Interest in consulting, strategy, finance, technology, operations, product, or growth work

- Ability to learn quickly and organize ambiguous information

- Comfort working remotely and managing project-based responsibilities

- Prior experience through internships, projects, research, startups, consulting, finance, software, data, or operations is helpful but not required

WHY APPLY

Career Launch helps candidates build visibility with our recruiting team across 100+ active roles. If your background is a fit for this role or related opportunities, our team may review your profile for next steps.

TO APPLY

Submit your resume and any relevant background, project, or portfolio details.