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Data Capture Jobs in California (NOW HIRING)

Notion

Software Engineer, AI Capture

San Francisco, CA · On-site

They are seeking a Software Engineer to build advanced AI Meeting Notes products and expand AI data capture features, enhancing the way teams manage conversations and knowledge. Responsibilities ...

INTELLISWIFT INC

Data Architect (with Cloud MDM)

San Jose, CA · On-site

$74.75 - $96/hr

Understands the range of options and best practices for common ETL design techniques such as change data capture, key generation and optimization. Experience and exposure to Hadoop and/or NoSQL ...

Skechers

Sr. Data Architect

Manhattan Beach, CA · On-site

$71.50 - $95.75/hr

Define and enforce best practices for SCD Type 2 data modeling, change data capture (CDC), and change tracking across data domains. * Establish and promote data governance principles including data ...

Skechers

Sr. Data Architect

Manhattan Beach, CA · On-site

$71.25 - $95.50/hr

Define and enforce best practices for SCD Type 2 data modeling, change data capture (CDC), and change tracking across data domains. * Establish and promote data governance principles including data ...

Skechers

Sr. Data Architect

Manhattan Beach, CA · On-site

$71.25 - $95.50/hr

Define and enforce best practices for SCD Type 2 data modeling, change data capture (CDC), and change tracking across data domains. * Establish and promote data governance principles including data ...

Collabera

Clinical Data Manager

Irvine, CA

Perform data management activities on both Electronic Data Capture (EDC) and paper studies. Major activities include Performs as lead data manager for projects and/or programs Responsible for the ...

Sama

Be Seen First

Driver - Data Collection (Contract)

San Francisco, CA · On-site

$25/hr

Follow structured collection protocols to capture specific driving scenarios and objects. * Monitor ... May include data upload of collected data * Communication with Project Manager for list of target ...

Cooper Companies

Lead Clinical Data Manager

San Ramon, CA · Hybrid

$164K - $219K/yr

Proficiency with common electronic data capture (EDC) and clinical data management platforms, and clinical data systems (e.g., REDCap, Medrio, Medidata RAVE, Veeva). * Expertise in database design ...

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Data Capture information

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How much do data capture jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data capture in California is $26.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $42.45 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

Is 40 too late for data science?

Data capture roles often require strong attention to detail and familiarity with data management tools, but age is not a barrier to entering the field. Many professionals transition into data science or related roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and certifications can help improve job prospects regardless of age.

What qualifications do you need to be a data capturer?

To be a data capturer, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with data entry software and good organizational skills are also important, and some roles may require prior experience in data management or related fields.

Is data capturing a difficult job?

Data capturing is generally considered a straightforward job that requires attention to detail and accuracy. It often involves using software tools and following established procedures, making it accessible for many individuals. The difficulty level depends on the complexity of the data and the precision required, but it typically does not involve highly technical skills or physical labor.

What is a Data Capture job?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

What jobs make $1,000,000 a year?

In data capture roles, earning $1,000,000 annually is uncommon; such high salaries are typically found in executive, investment, or entrepreneurial positions. Highly specialized roles with significant experience, leadership responsibilities, or ownership stakes may reach this level, but they are rare in standard data capture jobs. Most data capture positions offer salaries well below this threshold.

What are the key skills and qualifications needed to thrive in the Data Capture position, and why are they important?

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

What are popular job titles related to Data Capture jobs in California? For Data Capture jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Capture jobs in California look for? The top searched job categories for Data Capture jobs in California are:
What cities in California are hiring for Data Capture jobs? Cities in California with the most Data Capture job openings:
Data Capture jobs near you
Infographic showing various Data Capture job openings in California as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $55,375 per year, or $26.6 per hour.
Software Engineer, AI Capture

Software Engineer, AI Capture

Notion

San Francisco, CA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Notion is a company that helps teams streamline their work by providing a unified platform for collaboration. They are seeking a Software Engineer to build advanced AI Meeting Notes products and expand AI data capture features, enhancing the way teams manage conversations and knowledge.
Responsibilities:
• Ship end-to-end product experiences across capture → transcript → summary → follow-ups (full-stack ownership).
• Make meeting & data capture feel effortless and magical (e.g., speaker identification via audio waveforms, richer in-meeting UX, smarter organization).
• Improve summary quality that teams trust: structure, factuality, and citations that make downstream agents and humans more capable.
• Raise the bar on reliability & observability across the pipeline (SLOs, debugging workflows, incident response) for realtime systems.
• Build agentic meeting workflows that turn discussions into tasks, follow-ups, and organized knowledge — so “we talk and things get done.”
• Deliver enterprise readiness: sharing/permissions, compliance, and scalability for our fastest-growing customers.
Qualifications:
Required:
• 10+ years shipping production software, with a strong track record of owning features end-to-end.
• Strong full-stack engineering skills (frontend + backend) and excitement to own user-facing product end-to-end.
• Product-minded craftsmanship: you sweat details, iterate quickly, and use data and user feedback to guide decisions.
• Experience building and operating production systems (debugging, on-call/incident response, performance, and reliability).
• Ability to work across ambiguous problem spaces, align stakeholders, and drive execution with high ownership.
• You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.
Preferred:
• Experience with LLM / applied AI product development (prompting, evals, model integrations, or quality measurement).
• Experience with media / realtime pipelines (audio, transcription, diarization, streaming, low-latency processing).
• Experience building for enterprise customers (permissions models, compliance, scale, and security).
Company:
Notion is a workspace platform that offers note-taking, collaboration, task management, wikis, and databases. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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