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Data Annotation Tech Jobs in Philadelphia, PA (NOW HIRING)

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic ... Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate ...

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory → data → insight → application

... healthcare, technology, telecommunications, and financial services. ABOUT THE ROLE Global ... Strong analytic and synthesis skills; able to move from theory data insight application * Clear ...

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Data Annotation Tech information

See Philadelphia, PA salary details

$11

$21

$33

How much do data annotation tech jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data annotation tech in Philadelphia, PA is $21.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $25.96 per hour, depending on experience, location, and employer.

How to become a data annotation tech?

To become a data annotation tech, you typically need a high school diploma or equivalent, strong attention to detail, and familiarity with data labeling tools or software. Some roles may require basic knowledge of machine learning concepts or specific platforms like Labelbox or CVAT. Gaining experience through online courses or tutorials can also improve job prospects.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Does data annotation actually pay you?

Data annotation jobs typically pay hourly or per task, with rates varying depending on the platform and complexity of the work. Many companies and platforms offer remote opportunities that provide consistent payment once tasks are completed, often requiring basic skills in data labeling tools. Payment is generally reliable for those who meet quality standards and adhere to deadlines.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

How much do data annotation technicians make?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are entry-level and may offer flexible schedules or remote work opportunities.
What are the most commonly searched types of Data Annotation Tech jobs in Philadelphia, PA? The most popular types of Data Annotation Tech jobs in Philadelphia, PA are:
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What cities near Philadelphia, PA are hiring for Data Annotation Tech jobs? Cities near Philadelphia, PA with the most Data Annotation Tech job openings:
Infographic showing various Data Annotation Tech job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,409 per year, or $21.8 per hour.

Statistical Analytical Programmer

Slipstream IT

PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream's industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.
Job Overview:
The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.
Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.
Responsibilities and Duties:
  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sources-including EMR, EHR, claims, and registries-into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:
  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. Able to work independently in a remote environment and manage timelines effectively.

Preferred Qualifications:
  • Experience with R for data analysis, programming, or statistical workflows is highly beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most
Benefits
  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer