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From Home Data Validation Jobs (NOW HIRING)

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues. * Assist in identifying recurring operational problems from data. * Provide validated datasets to ...

Data Engineer

Salem, SC · On-site

$91K - $110K/yr

... data validation scripts that identify affected records and categorize them by scenario • Develop ... flow from UI through business logic to database • Participate in Agile/SCRUM ceremonies ...

Data Engineer

Lawrence Township, NJ

$127K - $152K/yr

You bring a strong blend of handson ETL development, data analysis, and data validation expertise, with the ability to ensure data is trustworthy from source to reporting layer. You collaborate ...

QA & Data Quality * Apply consistent quality checks to all audience outputs - validating segment ... This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per ...

QA & Data Quality * Apply consistent quality checks to all audience outputs - validating segment ... This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per ...

QA & Data Quality * Apply consistent quality checks to all audience outputs - validating segment ... This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per ...

Data Engineer

Lawrence, NJ · On-site

$122K - $146K/yr

You bring a strong blend of hands-on ETL development, data analysis, and data validation expertise, with the ability to ensure data is trustworthy from source to reporting layer. You collaborate ...

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

You bring a strong blend of hands-on ETL development, data analysis, and data validation expertise, with the ability to ensure data is trustworthy from source to reporting layer. You collaborate ...

... research study from design through final analysis and study closeout. The Data Manager is ... Data Management Handbook, Data Management Plan, Data Validation Plan, EDC System User's Guide, EDC ...

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Showing results 1-20

From Home Data Validation information

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$22

$51

$78

How much do from home data validation jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for from home data validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

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

AspectFrom Home Data ValidationFrom Home Data Entry
Required SkillsAttention to detail, analytical skills, basic computer proficiencyTyping speed, accuracy, basic computer skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Common CertificationsNone typically required, but attention to detail certifications helpfulNone typically required
Job FocusReviewing and verifying data accuracyInputting data into systems

From Home Data Validation involves reviewing data for accuracy and consistency, requiring analytical skills. In contrast, From Home Data Entry focuses on inputting data into databases, emphasizing typing speed and accuracy. Both roles are remote and require basic computer skills, but data validation emphasizes quality control, while data entry emphasizes data input speed.

What cities are hiring for From Home Data Validation jobs? Cities with the most From Home Data Validation job openings:
What are the most commonly searched types of Data Validation jobs? The most popular types of Data Validation jobs are:
What states have the most From Home Data Validation jobs? States with the most job openings for From Home Data Validation jobs include:
Infographic showing various From Home Data Validation job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 10% Full Time, and 87% Part Time. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75K - $115K/yr

Full-time

Posted 29 days ago


Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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