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Remote Data Collection Jobs in California (NOW HIRING)

GIS Analyst I

Auburn, CA · On-site +1

$25 - $31/hr

Works with lidar, imagery, and other remote sensing datasets to extract relevant geospatial information. Field Data Collection and Integration * Assists in field data collection using mobile GIS ...

GIS Analyst I

Santa Barbara, CA · On-site +1

$25 - $31/hr

Works with lidar, imagery, and other remote sensing datasets to extract relevant geospatial information. Field Data Collection and Integration * Assists in field data collection using mobile GIS ...

GIS Analyst I

Oakland, CA · On-site +1

$25 - $31/hr

Works with lidar, imagery, and other remote sensing datasets to extract relevant geospatial information. Field Data Collection and Integration * Assists in field data collection using mobile GIS ...

GIS Analyst I

Encinitas, CA · On-site +1

$25 - $31/hr

Works with lidar, imagery, and other remote sensing datasets to extract relevant geospatial information. Field Data Collection and Integration * Assists in field data collection using mobile GIS ...

GIS Analyst I

Pasadena, CA · On-site +1

$25 - $31/hr

Works with lidar, imagery, and other remote sensing datasets to extract relevant geospatial information. Field Data Collection and Integration * Assists in field data collection using mobile GIS ...

Screenplay Developer

Cupertino, CA · On-site +1

$151.80K - $157.90K/yr

... data collection environments. This role sits at the intersection of creative writing, linguistic ... Remote Pay range: $ 52.00 - $ 67.00 (DOE) A globally leading consumer device company headquartered ...

Sunnyvale, CA 94085 (Remote - Candidate must be able to come once in two weeks) Duration: 6 Months ... Develop and maintain software services required for efficient and scalable data collection ...

San Jose, CA 95125 (Hybrid/ or Remote) Duration: 8 months (possible extension) Required Skills ... Uses timely and appropriate participation of users/customers in data collection and query systems.

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Building tools to automate data collection * Develop custom data models and algorithms to apply to ...

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Remote Data Collection information

See California salary details

$15

$24

$31

How much do remote data collection jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote data collection in California is $24.98, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $25.62 per hour, depending on experience, location, and employer.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

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

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.
What are the most commonly searched types of Data Collection jobs in California? The most popular types of Data Collection jobs in California are:
What cities in California are hiring for Remote Data Collection jobs? Cities in California with the most Remote Data Collection job openings:

$65/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

TITLE: Sr. Data Scientist
MUST HAVES:
  1. Bachelor's Degree computer science, artificial intelligence, informatics or closely related field
  2. 5+ years as a Senior Data Scientist
  3. 5+ years of Healthcare industry experience
  4. Recent experience in designing, developing, and implementing, artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
  5. Ok with working PST hours
PAY RATE (MAX): $65.00 c2c all inclusive
DURATION: 12 months
LOCATION: Los Angeles based candidates who can work a hybrid work schedule OR PST, MST or CST remote candidates who can work PST hours.
Interview:- remote
QUESTIONS THAT NEED TO BE ANSWERED BY CANDIDATE: Submission summaries need to address the "Must Haves" and "Nice To Have"
JOB DESCRIPTION:
  • The Data Scientist to derive insights from the vast amounts of patient and environmental data available within our data warehouse. To achieve this goal, Client and creative machine learning and statistical analyses are needed.
  • The incumbent will work closely with healthcare researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
  • The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
  • Analyses will address a wide variety of clinical and research outcomes.
  • The incumbent will research and implement state-of[1]the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
  • The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.

Job Accountability
  • Develop, test, and install new software applications, and enhances functionality of existing applications, for artificial intelligence and machine learning
  • Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes
  • Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research
  • Collaborate with a team of programmers and informatics experts to address emerging client needs
  • Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data
  • Create new experimental frameworks to collect data, build tools to automate data collection
  • Correlate similar data to find actionable results and search through large data sets for usable information
  • Create reports and presentations on analysis results
  • Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare
  • Other duties as assigned
Requirements
  • Bachelor's Degree computer science, artificial intelligence, informatics or closely related field
  • Masters preferred