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Flexible Data Annotation Analyst Jobs in Butler, PA

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Flexible Data Annotation Analyst information

See Butler, PA salary details

$30.7K

$74.5K

$122.6K

How much do flexible data annotation analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for flexible data annotation analyst in Butler, PA is $74,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 per year, depending on experience, location, and employer.

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What are the most commonly searched types of Data Annotation Analyst jobs in Butler, PA?

The most popular types of Data Annotation Analyst jobs in Butler, PA are:

What job categories do people searching Flexible Data Annotation Analyst jobs in Butler, PA look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Butler, PA are:

What cities near Butler, PA are hiring for Flexible Data Annotation Analyst jobs?

Cities near Butler, PA with the most Flexible Data Annotation Analyst job openings:

Infographic showing various Flexible Data Annotation Analyst job openings in Butler, PA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $74,502 per year, or $35.8 per hour.

GSS Data Analyst - Cranberry, PA

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Cranberry Township, PA • Hybrid

$64K - $81K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow for next steps.
Requisition Number:  31965
Company:  Westinghouse Electric Co
Location:  Cranberry Township, US
Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
About the role:
As a GSS Data Analyst you will prepare data to be used by the Business Reporting & Analytics (BR&A) team across multiple areas of reporting. You will gather requirements from stakeholders and complete data transformation according to those requirements. You will report to the Manager, SQL & Data Manager and be located at our Cranberry Township, PA location. Hybrid Work Schedule.
Key Responsibilities:
Build robust data pipelines to support the gathering and transformation of data to be used by the BR&A and APX Project Management Office teams
Support the APX Project Management Office by meeting with stakeholders and developing analytical processes to support Business Intelligence reporting
Develop advanced queries to provide valuable data insight for the business
Create and maintain data models in an efficient manner, maximizing the use of our data and our tools
Develop automated programs for extracting, transforming, and loading data
Assist in the administration of a central data lake to be used by the BR&A team
Perform research and provide suggestions on technologies that could be used to boost the overall productivity of the BR&A team
Protect the integrity of BR&A reporting data by continually monitoring for data cleanliness and quickly identifying and resolving issues
Qualifications:
B.A., B.S. or equivalent business experience
3+ years experience in a similar role
Knowledge of financial processes, controls, and associated improvement programs
Familiarity with systems and data quality processes
Knolwedge of relational databases
Proficient in SQL, Python, R, Java, or any similar programming language
Background knowledge of Databricks
Proficiency in Power Platform (Power Automate, Power BI, Power Query)
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $64,800 to $81,000 per year.
#LI-Hybrid
Why Westinghouse?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
401(k) with Company Match Contributions to support employees' retirement
Paid Vacations and Company Holidays
Opportunities for Flexible Work Arrangements to promote work-life balance
Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
Global Recognition and Service Programs to celebrate employee accomplishments and service
Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
Safety and Quality
Integrity and Trust
Customer Focus and Innovation
Speed and Passion to Win
Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities
Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube
Employment opportunities may require access to information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.