ZipRecruiter

Log In

1

From Home Data Operations Jobs in California (NOW HIRING)

Thinking Machines Lab

Data Operations

San Francisco, CA · On-site

$250K - $350K/yr

Data Operations San Francisco The mission of Thinking Machines is to build AI that extends human ... Own data projects from sourcing and vendor selection through quality review and delivery. * Find ...

New

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces. Role: Specter is hiring a data operations engineer to build our research data operation. This ...

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC ... Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ...

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC ... Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ...

Figure

Lead, Data Operations Global Expansion

San Jose, CA · On-site

$100K - $160K/yr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are ... Lead the global expansion team that stands up new data operations sites, owning launches from site ...

Figure

Lead, Data Operations Global Expansion

San Jose, CA · On-site

$100K - $160K/yr

Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are ... Lead the global expansion team that stands up new data operations sites, owning launches from site ...

Suno

Lead, ML Data Operations

San Francisco, CA · On-site

$241K - $382K/yr

Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners ... About the Role We're looking for a Lead of ML Data Operations to build and lead a new function at ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Strong ability to translate technical priorities from research and engineering teams into scalable ... data pipelines, model training, robot operations) to coordinate effectively - but this is a people ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Strong ability to translate technical priorities from research and engineering teams into scalable ... data pipelines, model training, robot operations) to coordinate effectively - but this is a people ...

Cooley

BIC Data Operations Specialist

San Diego, CA · On-site

$82K - $120K/yr

BIC Data Operations Specialist Position summary: Under the supervision of the Director, BIC ... Experience running reports or queries from enterprise platforms * Familiarity with Excel, reporting ...

next page

Showing results 1-20

All JobsData Operations JobsFrom Home Data Operations JobsFrom Home Data Operations Jobs in California

From Home Data Operations information

What is a from home data operations job?

'From Home Data Operations' jobs involve managing, processing, and analyzing data while working remotely. These positions typically include tasks such as data entry, data validation, data cleaning, database management, and reporting. Employees in these roles use various software tools to organize and maintain accurate information for businesses without needing to commute to an office. Remote data operations professionals are often required to have attention to detail, strong organizational skills, and proficiency with common data management programs. These jobs offer flexibility and are popular among people seeking remote work opportunities.

What skills and qualifications are needed for from home data operations?

To thrive as a From Home Data Operations professional, you need strong analytical abilities, attention to detail, and proficiency in data management, often supported by a degree in business, information systems, or a related field. Experience with databases, Excel, data visualization tools like Tableau or Power BI, and knowledge of data privacy regulations are typically required. Excellent time management, self-motivation, and clear communication skills help individuals excel in remote work environments. These skills ensure accurate data handling, effective collaboration, and reliable operations in a distributed setting.

What are common challenges in from home data operations and how can they be addressed?

Professionals in From Home Data Operations roles often encounter challenges such as maintaining data accuracy, managing distractions in a home environment, and staying connected with remote team members. To overcome these, it's essential to establish a dedicated workspace, use reliable collaboration tools, and adhere to strict data quality protocols. Regular communication with supervisors and colleagues, along with setting clear daily goals, can also help ensure productivity and high-quality work.

What is the difference between From Home Data Operations vs From Home Data Entry?

AspectFrom Home Data OperationsFrom Home Data Entry
CredentialsBasic computer skills, sometimes certifications in data managementBasic computer skills, often no formal certifications required
Work EnvironmentRemote, flexible hours, often involves managing data processesRemote, flexible hours, primarily involves inputting data into systems
Employer & Industry UsageUsed across industries like healthcare, finance, e-commerce for data managementCommon in administrative, retail, and small business sectors for data input

From Home Data Operations typically involves managing, processing, and overseeing data workflows remotely, requiring some technical skills. In contrast, From Home Data Entry focuses mainly on inputting data into systems, often with minimal technical requirements. Both roles are remote and flexible but differ in scope and responsibilities.

What are the most commonly searched types of Data Operations jobs in California?

The most popular types of Data Operations jobs in California are:

What are popular job titles related to From Home Data Operations jobs in California?

For From Home Data Operations jobs in California, the most frequently searched job titles are:

What job categories do people searching From Home Data Operations jobs in California look for?

The top searched job categories for From Home Data Operations jobs in California are:

What cities in California are hiring for From Home Data Operations jobs?

Cities in California with the most From Home Data Operations job openings:

From Home Data Operations jobs near you
Infographic showing various From Home Data Operations job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Operations

Thinking Machines Lab

San Francisco, CA • On-site

$250K - $350K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New

Job description

The mission of Thinking Machines is to build AI that extends human will and judgment.
Data Operations
San Francisco
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
We're looking for someone to join Data Operations and help researchers get the data they need to train and evaluate our models.
You'll work directly with researchers to understand what they need, figure out how to get it, and own the work through delivery. Sometimes that means finding the right vendor. Sometimes it means digging into a new domain, finding unusual sources of data, or working through a request we haven't seen before.
This is a hands-on role. You'll spend time talking directly with vendors, reviewing data quality, and building processes and systems that make the work easier to repeat and scale.
Our research priorities change quickly, so the work will too. We're looking for someone who is resourceful, flexible, and comfortable figuring things out as they go.
What You'll Do
  • Work with researchers to understand what data they need and turn open-ended requests into a concrete plan.
  • Own data projects from sourcing and vendor selection through quality review and delivery.
  • Find the best vendors, experts, and data sources for different types of work.
  • Build and maintain strong partnerships with data vendors, including international partners.
  • Review data with researchers and vendors, identify quality issues, and improve the output.
  • Go deep on new data domains when needed and quickly learn what good looks like.
  • Build guidelines, processes, and tools that make recurring work easier and more scalable.
  • Automate repetitive work where it makes sense while staying close to the work that requires judgment.
  • Work with legal and other teams on practical ways to manage vendor relationships, and adhere to communication guidelines.
  • Manage multiple projects against research and model timelines and adjust quickly as priorities change.

Skills and Qualifications
Minimum qualifications
  • Experience owning operational, data, product, program, or vendor work from start to finish.
  • Experience working with data vendors ideally in AI or technology.
  • Strong problem-solving instincts and a willingness to dig in when there isn't an obvious answer.
  • Comfortable working directly with researchers or technical teams and turning loosely defined needs into action.
  • Good judgment about quality and a willingness to inspect the work closely rather than rely only on process.
  • Strong communication skills across different teams, vendors, and cultures.
  • Comfortable with ambiguity, changing priorities, and tight timelines.
  • High initiative and willingness to do whatever part of the job is needed to move the work forward.
  • Able to add useful structure without overcomplicating things.

Preferred qualifications - we encourage you to apply if you meet some but not all of these
  • Experience with pre-training, post-training, evaluation, annotation, or other AI data types.
  • Existing relationships with a diverse set of AI or related data vendors.
  • Experience at an AI company, data company, marketplace, or other fast-moving technology company.
  • Experience working with international vendors and cross-border operational or compliance issues.
  • Product, program, operations, or generalist experience in an environment where you had to build the process as you went.
  • Experience building simple tooling or automation to reduce manual operational work.

Logistics
  • Location: This role is based in San Francisco, CA.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $250,000 - $350,000.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

Apply