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Machine Learning Data Associate Jobs in Philadelphia, PA

Associate Data Scientist

Philadelphia, PA ยท On-site

$56K - $56K/yr

Right now, we are looking for a highly motivated Associate Data Scientist who will be responsible ... Work with machine learning engineers and software developers to deploy models and modeling ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Debug data, models, and system issues * Build training, inference, and eval pipelines Skills ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ...

Data Scientist

Camden, NJ ยท On-site

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ...

AI / Machine Learning Engineer (Contract) Location: Philadelphia, PA or Charlotte, NC Duration: 6 ... Integrate AI solutions with enterprise applications, APIs, and data platforms. * Optimize model ...

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Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for machine learning data associate in Philadelphia, PA is $18.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

What is the salary of ML data associate?

The salary of a Machine Learning Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and tools like Python or SQL can earn higher salaries.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

Is ML data associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Job satisfaction depends on individual interests and career goals in technology and data fields.

How much do ML data associates make in the US?

Machine Learning Data Associates in the US typically earn between $35,000 and $60,000 annually, depending on experience, location, and employer. Entry-level positions may start lower, while those with specialized skills in data annotation, labeling, or familiarity with tools like Labelbox or CVAT can command higher salaries.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
Infographic showing various Machine Learning Data Associate job openings in Philadelphia, PA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,328 per year, or $18.9 per hour.
Machine Learning Engineer[C2C/W2 ROLE]

Machine Learning Engineer[C2C/W2 ROLE]

SmartIPlace

Philadelphia, PA โ€ข On-site

Contractor

Posted 22 days ago


Job description

Job Title: Machine Learning Engineer [w2 role]

Location:ย Philadelphia, PA (Onsite โ€“ 4 days/week at 1800 Arch Street)
Alternate location:ย Reston, VA (for strong candidates)
Duration:ย Contract
Eligibility:ย USC, GC


Job Summary

We are seeking aย hands-on Machine Learning Engineerย with 5+ years of experience who can design, build, and deploy scalable machine learning solutions. This role requires strong coding expertise and real-world experience delivering models into production environments. The ideal candidate is not a manager but an individual contributor who thrives in a fast-paced, engineering-focused environment.


Key Responsibilities

  • Model Development:ย Design, build, train, and fine-tune machine learning and deep learning models for real-world use cases
  • Production Deployment:ย Deploy, monitor, and maintain ML models in production environments
  • Data Pipeline Development:ย Build and optimize scalable data pipelines for ingestion, transformation, and processing
  • Performance Optimization:ย Evaluate models using metrics like accuracy, recall, and AUC; optimize for performance and scalability
  • Collaboration:ย Work closely with cross-functional teams including data engineers, software engineers, and business stakeholders

Required Skills & Qualifications

  • 5+ years of experience as a Machine Learning Engineer or similar role
  • Strongย Python programmingย skills with solid software engineering fundamentals
  • Recent and hands-on experience with PySparkย (mandatory)
  • Experience with machine learning frameworks such asย Scikit-learn
  • Strong understanding ofย statistics, probability, and algorithms
  • Experience working withย SQL, data modeling, and large datasets
  • Proven track record ofย deploying ML models into production environments
  • Experience withย AWS services

Preferred Qualifications

  • Experience withย MLOps toolsย such as Docker for model deployment
  • Hands-on experience withย local Large Language Models (LLMs)
  • Familiarity with distributed computing and big data technologies

Interview Process

Round 1 (30 mins โ€“ Virtual)

  • Experience overview
  • Technical discussion
  • Live coding exerciseย (Video ON + full desktop screen sharing required)

Round 2 (60 mins โ€“ In-Person Preferred)

  • Technical deep dive
  • Advanced live coding exercise

Work Environment

  • 4 days onsite preferred (Philadelphia office)
  • Open to relocation candidates
  • Reston, VA location may be considered if needed

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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