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Full Time Free Data Entry Jobs in San Ramon, CA (NOW HIRING)

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Full Time Free Data Entry information

See San Ramon, CA salary details

$12

$21

$31

How much do full time free data entry jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for full time free data entry in San Ramon, CA is $21.76, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.42 per hour, depending on experience, location, and employer.

What is a full time free data entry job?

Full time free data entry jobs involve entering, updating, or managing data in electronic systems or databases for an employer on a full-time basis, often 35-40 hours per week. The 'free' in this context usually refers to jobs that do not require payment of any fees to apply or start working. Responsibilities may include typing information from physical or digital sources, verifying data accuracy, and maintaining records. These positions can be found in various industries such as finance, healthcare, and retail. It is important to be cautious of scams and only apply through reputable companies or platforms.

What are the typical challenges faced in a full time data entry role and how can they be managed?

Full-time data entry professionals often encounter challenges such as repetitive tasks, maintaining accuracy under tight deadlines, and managing large volumes of information. Staying organized and taking regular breaks can help prevent fatigue and reduce errors. Additionally, becoming familiar with the data management systems used by your employer and developing strong attention to detail are key to ensuring high-quality work and meeting productivity targets.

What are the key skills and qualifications needed to thrive as a full time data entry clerk?

To thrive as a Full-Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing abilities, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry-specific tools is typically required. Reliability, time management, and strong organizational skills help someone stand out in this position. These skills ensure that large volumes of information are processed accurately and efficiently, supporting overall business operations.

What is the difference between Full Time Free Data Entry vs Part Time Free Data Entry?

AspectFull Time Free Data EntryPart Time Free Data Entry
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Job StabilityHigher, with consistent scheduleLess stable, flexible hours
Pay StructureMonthly salary or fixed payHourly or project-based pay
Work EnvironmentOffice or remote, full-time setupRemote or flexible locations

Full Time Free Data Entry involves working standard full-time hours with more stability and consistent pay, suitable for those seeking steady employment. Part Time Free Data Entry offers flexible hours and is ideal for individuals needing a secondary income or flexible schedule. Both roles require similar skills and credentials but differ mainly in hours, stability, and pay structure.

What are the most commonly searched types of Free Data Entry jobs in San Ramon, CA? The most popular types of Free Data Entry jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Full Time Free Data Entry jobs? Cities near San Ramon, CA with the most Full Time Free Data Entry job openings:
Full Time Free Data Entry jobs near you

Project Perseus \u007C Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

Welo Data

Sunnyvale, CA • On-site

$32/hr

Full-time

Re-posted 15 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.