1

From Home Data Operations Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

We are hiring a Data Operations Specialist to own cross-functional execution for MaxInsights' data ... Proven ability to create structure from ambiguity and own outcomes without introducing unnecessary ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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 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:

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.

Human Data Operations Strategist

Encord

San Francisco, CA • On-site

Full-time

Re-posted 12 hours ago


Job description

Job Summary:
Encord is a leading company in AI data management, supporting over 300 AI teams in optimizing their data workflows. The Human Data Operations Strategist will manage data annotation projects, ensuring high-quality data is available for AI models while collaborating with various teams and clients to refine processes and implement effective workflows.
Responsibilities:
• Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams
• Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops
• Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process
• Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices
• Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies
Qualifications:
Required:
• 3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
• Proven ability to own complex, multi-stakeholder workflows end-to-end — from scoping and planning through execution, quality assurance, and iteration
• Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
• Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability — ideally in a context involving human-in-the-loop workflows or structured labelling tasks
• Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
• A sharp, execution-oriented operator with a consulting or AI company pedigree — you bring structured thinking, strong project management instincts, and a bias for getting things done
• Analytically rigorous and comfortable with ambiguity — you break down complex operational challenges from first principles and build clear, actionable plans to solve them
• Technically fluent enough to get hands-on with data — whether that's querying a database, auditing annotation outputs, or automating a workflow in Python
• Passionate about AI and machine learning, with genuine curiosity about how data quality and operations underpin model performance
• A natural communicator who can translate fluidly between ML engineers and non-technical clients, keeping complex multi-stakeholder projects on track
• Entrepreneurial and collaborative — you thrive in fast-paced environments and take ownership without waiting to be told what to do
Preferred:
• Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams
Company:
Encord is the AI native data Infrastructure company. We help teams curate, manage, and annotate the data needed to train and run AI Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.