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Flexible Data Annotation Analyst Jobs in Springfield, PA

Data Analyst

Philadelphia, PA · On-site

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... flexible benefits package that reflect its commitment to creating a diverse and supportive ...

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... flexible benefits package that reflect its commitment to creating a diverse and supportive ...

As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional ... Flexible PTO * 401k company contribution * Tuition reimbursement * Professional development ...

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance ... Flexible and able to accept, create and manage change * Ability to work well independently and ...

Overview A Transportation Data Analyst - I is both a thinker and a doer who doesn't hesitate to ... Ability to be flexible to adapt and act quickly when urgent matters require it * Travel ...

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark model outputs for quality ...

Showing results 21-40

Flexible Data Annotation Analyst information

See Springfield, PA salary details

$32.1K

$78K

$128.3K

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 Springfield, PA is $77,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 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.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

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

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

Data Domain Architect [Multiple Positions Available]

JPMorgan Chase & Co

Wilmington, DE • On-site

$61.75 - $79.50/hr

Full-time

Medical, Retirement

Posted 20 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

DESCRIPTION:

Duties: Optimize features and AI capabilities for the Chase Digital Assistant and other conversational AI products. Drive NLU model training and optimization for Chase Digital Assistant (CDA), advancing NLU capabilities and conversational AI understanding for improving digital containment within CDA. Manage intent and entity taxonomy development and align cross-functional teams across Product, Engineering, and Analytics. Optimize training data sets to improve data quality, NLU model F1 score, and intent recognition rate for CDA. Partner with Annotation Lead to review and optimize training data and enable meaningful and measurable outcomes. Design extended analytic frameworks and semantic representations to support NLU models. Conduct conversational analysis to identify systemic improvement opportunities and inform product enhancements. Identify design gaps and systemic improvement opportunities within conversation flows for customer journey optimization and improved completion rate within CDA. Work with Product Managers, ML Engineers, and Analytics by providing linguistic expertise and direction for new NLP capabilities including dialogue, ambiguity, and inference. Identify new testing opportunities and conversational strategies. Develop and maintain documentation on Natural Language Understanding processes, guidelines, and best practices. Guide linguists and conversation analysts to scale annotation initiatives, strengthen evaluation processes, and drive conversational AI excellence.

QUALIFICATIONS:

Minimum education and experience required: PhD in Computational Linguistics, Linguistics, or related field of study plus 3 years of experience in the job offered or as Data Domain Architect Lead, Computational Linguist, NLU Specialist, Post Doctoral Research Fellow, Siri Lexical Linguist, Linguist, or related occupation.

Skills Required: This position requires two (2) years of experience with the following: designing and optimizing Natural Language Understanding (NLU) and AI-powered systems throughout the product lifecycle, including model training, testing, and evaluation using advanced machine learning and computational linguistics techniques; building, testing, and refining language models for AI applications; conducting error analysis and quality assurance on datasets to improve model outputs and system reliability; creating and maintain taxonomies, and lexical resources to support intent and entity recognition; processing and analyzing raw text and datasets to support model development and continuous improvement; training, testing, and evaluating model performance using established metrics and methodologies; serving as a subject matter expert in linguistics and computational linguistics, resolving intent and entity overlaps within taxonomies; reviewing and correcting annotation data, performing error analysis, and addressing bugs by collaborating with annotation teams; supporting end-to-end AI product development and deployment utilizing tools and platforms including Notepad++, SpaCy, Python, NLTK, Regex, Bash, Git, and language modeling frameworks; tracking project progress and ensuring alignment across cross-functional teams using project management tools including Jira and SharePoint.

Job Location: 301 N Walnut Street, Wilmington, DE 19801.

Full-Time.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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