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From Home Data Operations Jobs (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... questions from engineering, product, and business teams. • Translate ambiguous or high-level ... data operations, data engineering, or a related role involving direct interaction with datasets ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from ... The role As a Human Data Operations Strategist, you will play a critical role in managing and ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from ... The role As a Human Data Operations Strategist, you will play a critical role in managing and ...

Lantern

Data Operations, Sr. Manager

Dallas, TX · Hybrid

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Data Operations, Sr. Manager Reports to: Director of Data JOB OVERVIEW ...

WellSky

Data Operations Analyst

Boston, MA · On-site

$2.5K/yr

Collect, organize, and perform basic analysis of data from various sources to identify trends and support decision-making processes. * Assist in evaluating existing operational processes by providing ...

E-Solutions

Data Operations Lead Onsite

Chicago, IL · Hybrid

Manage UAT data refreshes from production data warehouses and data lakes. * Ensure masking, security, and compliance standards are followed. * Provide operational support for non-production ...

Geotab

Data Operations Developer

Atlanta, GA · On-site

Geotab is seeking a Data Operations Developer who will be responsible for the development of ... When working from home, you are required to have a reliable internet connection with at least 50mb ...

WellSky

Data Operations Analyst

Overland Park, KS · On-site

$2.5K/yr

Collect, organize, and perform basic analysis of data from various sources to identify trends and support decision-making processes. * Assist in evaluating existing operational processes by providing ...

Lantern

Data Operations, Sr. Manager

Dallas, TX · On-site +1

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Data Operations, Sr. Manager Reports to: Director of Data JOB OVERVIEW ...

Datasite

Data Operations Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers ... As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves ...

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From Home Data Operations information

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$52K

$128.5K

$200K

How much do from home data operations jobs pay per year?

As of Jun 19, 2026, the average yearly pay for from home data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a From Home Data Operations professional, and why are they important?

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 some common challenges faced by professionals in From Home Data Operations roles, 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 'From Home Data Operations' jobs?

'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.
More about From Home Data Operations jobs
What cities are hiring for From Home Data Operations jobs? Cities with the most From Home Data Operations job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most From Home Data Operations jobs? States with the most job openings for From Home Data Operations jobs include:
What job categories do people searching From Home Data Operations jobs look for? The top searched job categories for From Home Data Operations jobs are:
From Home Data Operations jobs near you
Infographic showing various From Home Data Operations job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 10% Part Time, and 11% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Data Operations Manager, Human Data

Data Operations Manager, Human Data

Anthropic

San Francisco, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.

About the Impact

The data operations you build will directly determine how well our models perform on critical capabilities-tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.

We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas-someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.

Responsibilities:

  • Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows

  • Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale

  • Design and implement operational systems that translate research requirements into high-quality data pipelines

  • Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems

  • Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards

  • Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations

  • Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

You may be a good fit if you:

  • Have 3+ years in operations, consulting, product management, or program management roles

  • Have exceptional project management skills with ability to handle multiple complex projects simultaneously

  • Have strong communication skills and can engage effectively with technical and non-technical stakeholders

  • Are familiar with how LLMs work or have strong interest in understanding AI training methodologies

  • Are highly organized and can navigate ambiguity effectively

  • Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)

  • Thrive in fast-paced research environments with shifting priorities

  • Are passionate about AI safety and understand the critical importance of high-quality data

Strong candidates may also have:

  • Experience with data collection, labeling, or annotation operations for AI/ML systems

  • Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows

  • Background working with research teams at AI companies or research-oriented organizations

  • Experience managing vendor relationships or external contractors

  • Consulting background with experience translating complex requirements into deliverables

  • Track record of implementing process improvements or quality control systems at scale

Apply