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Temporary Data Coding Jobs in California (NOW HIRING)

Aquent

Coding Specialist

Sacramento, CA · On-site +1

$38.29 - $41.07/hr

Temporary Salary: $38.29-41.07 Hourly Start Date: Aug 3, 2026 Aquent is proud to partner with a ... Abstract required data elements per facility specifications and maintain compliance with federal ...

Aviso, LLC

Data Entry Clerk

Fremont, CA · On-site

$25 - $27/hr

Temporary (2 to 4 months direct, in-house assignment) About the Role: We are looking to add two ... Exceptional attention to detail and the ability to easily spot discrepancies in numbers and codes.

AllSTEM Connections

Data Engineer II

Oakland, CA · On-site

$122K/yr

This is an ideal role for an engineer who balances technical coding expertise with strong ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Adecco

Retail Data Entry Clerk

Dublin, CA

$31/hr

This is an exciting long-term temporary opportunity to work directly with a Fortune 500 company at ... Accurately review, code, and process a high volume of invoices in a timely manner * Account ...

AllSTEM Connections

Data Scientist

San Francisco, CA · On-site

$187K/yr

The ideal candidate isn't just a coder, but a technical translator who can turn unstructured data ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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All JobsData Coding JobsTemporary Data Coding JobsTemporary Data Coding Jobs in California

Temporary Data Coding information

What is the difference between Temporary Data Coding vs Data Entry Clerk?

AspectTemporary Data CodingData Entry Clerk
Required CredentialsBasic computer skills, sometimes coding or data management trainingHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice settings, data centers, or remote workOffice environments, data processing centers
Employer & Industry UsageBusinesses needing quick data classification or codingOrganizations requiring data input and management
Common Search & ComparisonTemporary Data Coding vs Data Entry Clerk

Temporary Data Coding involves classifying or categorizing data, often requiring some familiarity with coding systems or data management. Data Entry Clerks focus on inputting data accurately into systems. While both roles require attention to detail and basic computer skills, Temporary Data Coding may involve understanding coding standards, whereas Data Entry Clerks primarily handle data input tasks.

How much do data coders make?

Data coders typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the coding tasks. Entry-level positions may pay closer to minimum wage, while experienced coders with specialized skills can earn higher wages or freelance rates. Many roles require attention to detail and familiarity with data entry tools or coding standards.
What are the most commonly searched types of Data Coding jobs in California? The most popular types of Data Coding jobs in California are:
What are popular job titles related to Temporary Data Coding jobs in California? For Temporary Data Coding jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Data Coding jobs in California look for? The top searched job categories for Temporary Data Coding jobs in California are:
What cities in California are hiring for Temporary Data Coding jobs? Cities in California with the most Temporary Data Coding job openings:
Temporary Data Coding jobs near you

Temporary Research Assistant

Brandeis University

Brandeis, CA

$18/hr

Part-time

Re-posted 29 days ago

Job description

The Institute for Behavioral Health seeks an Undergraduate Research Assistant (URA) as summer intern to provide data collection and general support the Exploring Community Knowledge -Ongoing (ECKS-O) study.

This is a part time internship, 20 hour per week from June - August 2026.

The pay rate is $18/hour.

Essential Duties and Responsibilities:

The Undergraduate Research Assistant summer intern will work as part of a team to:

  • Working with Project Managers, to execute project administrative tasks.
  • Assist with data collection efforts for survey data for the ECKS-O study. This will be done in the field and remotely with research participants.
  • Work alongside research staff to support quality control activities (e.g., quantitative data, qualitative data, proofreading transcriptions, etc.)
  • Support quantitative and qualitative data analysis. Contribute to statistical analysis (e.g. bivariate analysis) and/or qualitative data coding with ECKS-O data. Experience with SPSS, R or Stata is preferred.
  • Conduct qualitative analysis, experience with Dedoose preferred.
  • Assist in creation/preparation of presentations, documentation, and other communication materials to delivery of information to communities, the department of public health, the team, and more
  • Attend weekly project meetings to record action steps, as requested.

Skills and Experience Requirements:

The candidate must have strong organizational and time-management skills, must be detailed oriented and focused. Must have ability to treat people who use drugs and people who are in recovery with dignity, respect, and kindness. Excellent communication skills, both written and verbal are necessary. Training and mentoring available for candidate.

Prior experience with research, community service with vulnerable populations, and/or with people who use drugs is preferred. Access to transportation is required.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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