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From Home Data Operations Jobs (NOW HIRING)

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 ...

KPMG US

Manager, Data Operations

Short Hills, NJ · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Pittsburgh, PA · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Omaha, NE · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Louisville, KY · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Kansas City, MO · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Providence, RI · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Chicago, IL · On-site

They are seeking a Manager for Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Tallahassee, FL · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

San Antonio, TX · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Oklahoma City, OK · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Lincoln, NE · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Richmond, VA · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Greenville, SC · On-site

The Manager, Data Operations role focuses on overseeing Azure Data Lake operations, ensuring ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Hartford, CT · On-site

The Manager, Data Operations will lead and manage resources for Azure Data Lake operations ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

KPMG US

Manager, Data Operations

Jackson, MS · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines, ensuring platform ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

HealthEdge

Data Operations Manager

Design, build and maintain pipelines that consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources into a unified analytical layer. * Develop and curate data ...

KPMG US

Manager, Data Operations

Charlotte, NC · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake operations, ensuring ... degree from an accredited college or university is preferred Company : KPMG is one of the world ...

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From Home Data Operations information

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$52K

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$200K

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

As of Aug 20, 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 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.

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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?

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From Home Data Operations jobs near you
Infographic showing various From Home Data Operations job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Data Operations Engineer

Specter

San Francisco, CA • On-site

$81K - $110K/yr

Full-time

Re-posted 18 days ago

Job description

Company Background:
Specter's mission is to help automate the physical world.
Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. 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 individual will own the full pipeline from defining what data we need, to getting it labeled at high quality, to ensuring it meets the needs of our research team and ultimately improves our models. The role sits at the intersection of engineering and research, with a focus on building systems and tooling.
Responsibilities:
  • Own the end-to-end relationship with our data labeling provider, including task scoping, timeline management, and issue resolution
  • Build and maintain internal tooling for labelers, including annotation interfaces, task pipelines, and dataset browsers
  • Define and enforce quality control standards across all labeled data, implementing automated checks and audit workflows
  • Partner with researchers to translate perception model needs into data collection strategies, identifying gaps in coverage across object types, scenes, lighting conditions, and sensor modalities
  • Build dashboards and metrics to monitor dataset diversity, class balance, and domain coverage
  • Close the loop on the data flywheel: track how labeled data flows into training, surface failure modes, and drive iteration on the pipeline from collection through to model improvement
  • Evaluate and integrate new data sources
  • Define labeling taxonomies and annotation specifications

Qualifications:
  • 1-3+ years of experience in data operations, project management, or a technical coordination role, ideally supporting ML or engineering teams
  • Proficiency in Python and comfort building lightweight tools, scripts, and dashboards
  • Strong written and verbal communication skills, with experience managing external vendors or cross-functional stakeholders
  • Familiarity with ML workflows and how training data impacts model performance
  • Highly organized, with a track record of managing multiple concurrent workstreams
  • Self-directed and autonomous
  • Bonus: experience with computer vision data, annotation platforms, or labeling operations

Apply