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Remote Data Coding Jobs in Pennsylvania (NOW HIRING)

Geisinger Health

Data Scientist Team Lead

Danville, PA · On-site +1

Lead code reviews and enforce best practices in coding standards, model development, and deployment ... Work is typically performed in an office or remote environment. Accountable for satisfying all job ...

Vector Security

Data Support Representative

PA · On-site +1

$15.25 - $19.50/hr

Gainesville, VA (hybrid) or US Remote The work schedule for this position is Sunday - Thursday, 8am - 5pm EST Summary: As a Data Support Representative , you will process code changes in a timely ...

Vector Security, Inc.

Data Support Representative

Home, PA · On-site +1

$15.25 - $19.50/hr

Gainesville, VA (hybrid) or US Remote The work schedule for this position is Sunday - Thursday, 8am - 5pm EST Summary: As a Data Support Representative , you will process code changes in a timely ...

Jobcertify

Senior Data Analyst

Philadelphia, PA · On-site +1

$86K - $109K/yr

Adhere to data analysis code best practices and analysis standards Requirements Location ... Remote work environment * Travel opportunities (remember those!?) * Comprehensive benefits ...

Air

Forward Deployed Data Scientist

Pittsburgh, PA · On-site +1

... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ... Deploying code into production AI systems * Taking end-to-end ownership of client problems

Air

Forward Deployed Data Scientist

Pittsburgh, PA · On-site +1

... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ... Deploying code into production AI systems * Taking end-to-end ownership of client problems

York Risk Services

Data Engineer AI

North East, PA · On-site +1

$105K - $127K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the ... code at the speed required by a Transformation Office. #LI-TS1 #remote Sedgwickis an Equal ...

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All JobsData Coding JobsRemote Data Coding JobsRemote Data Coding Jobs in Pennsylvania

Remote Data Coding information

What is the difference between Remote Data Coding vs Remote Data Entry?

AspectRemote Data CodingRemote Data Entry
Required SkillsMedical coding certifications, attention to detail, knowledge of coding systemsBasic computer skills, accuracy, data input proficiency
Work EnvironmentHealthcare settings, remote medical officesVarious industries, remote administrative roles
Industry UsageHealthcare, insurance, medical billingRetail, finance, general administrative tasks

Remote Data Coding involves assigning standardized medical codes to patient records, requiring specific certifications and healthcare knowledge. Remote Data Entry focuses on inputting data into systems, often with less specialized training. Both roles are remote, but they serve different industries and require distinct skill sets.

What are the most commonly searched types of Data Coding jobs in Pennsylvania? The most popular types of Data Coding jobs in Pennsylvania are:
What are popular job titles related to Remote Data Coding jobs in Pennsylvania? For Remote Data Coding jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Data Coding jobs in Pennsylvania look for? The top searched job categories for Remote Data Coding jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Data Coding jobs? Cities in Pennsylvania with the most Remote Data Coding job openings:
Remote Data Coding jobs near you
Infographic showing various Remote Data Coding job openings in Pennsylvania as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.
Machine Learning Engineer, Data Mining

Machine Learning Engineer, Data Mining

Motional

Pittsburgh, PA • On-site, Remote

$111K - $133K/yr

Other

Posted 25 days ago

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply