ZipRecruiter

Log In

2

Learning Analytics Remote Jobs in Ashburn, VA (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Personalized development plans, large portfolio of learning solutions & lots of internal mobility ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

previous pagenext page

Showing results 21-40

All JobsLearning Analytics JobsLearning Analytics Remote JobsLearning Analytics Remote Jobs in Ashburn, VA

Learning Analytics Remote information

See Ashburn, VA salary details

$22

$40

$62

How much do learning analytics remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for learning analytics remote in Ashburn, VA is $40.41, according to ZipRecruiter salary data. Most workers in this role earn between $29.52 and $44.23 per hour, depending on experience, location, and employer.

What is a learning analytics remote job?

A Learning Analytics Remote job involves analyzing educational data to improve learning outcomes, all while working from a remote location. Professionals in this role use data analysis tools and techniques to track student engagement, performance, and behavior across digital learning platforms. They help educators and institutions make data-driven decisions to enhance teaching strategies and personalize learning experiences. Remote positions in this field offer flexibility and often require strong analytical, communication, and technical skills.

What are the key skills and qualifications needed to thrive as a learning analytics professional working remotely?

To excel as a Learning Analytics professional in a remote setting, you need strong analytical skills, a background in education or data science, and experience with quantitative and qualitative research methods. Familiarity with learning management systems (LMS), data visualization tools (like Tableau or Power BI), and programming languages such as Python or R is typically required. Excellent communication, time management, and self-motivation are vital soft skills for collaborating with distributed teams and stakeholders. These skills and qualities are essential for interpreting educational data, providing actionable insights, and driving continuous improvement in remote learning environments.

What are some common challenges faced by professionals in a remote learning analytics role, and how can they be addressed?

Professionals in remote learning analytics often encounter challenges such as ensuring clear communication with stakeholders across different time zones and maintaining data privacy when working with sensitive student information. Additionally, accessing and integrating data from various learning platforms can require strong technical skills and problem-solving abilities. Staying proactive with regular virtual check-ins, utilizing secure data management practices, and leveraging collaborative tools can help address these challenges and foster effective teamwork in a remote environment.

What are popular job titles related to Learning Analytics Remote jobs in Ashburn, VA?

For Learning Analytics Remote jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Learning Analytics Remote jobs in Ashburn, VA look for?

The top searched job categories for Learning Analytics Remote jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Learning Analytics Remote jobs?

Cities near Ashburn, VA with the most Learning Analytics Remote job openings:

Learning Analytics Remote jobs near you

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

About the Role

We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications.

This role combines strong ML engineering with an experimental mindset. You will work on problems involving reinforcement learning, model evaluations, language models, multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems.

You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts supporting leading AI organizations.

What You'll Do
  • Design and run ML experiments to evaluate the capabilities, behavior, robustness, and limitations of advanced AI systems.
  • Develop and evaluate models across reinforcement learning, NLP/LLMs, computer vision, and multimodal ML.
  • Build evaluation pipelines, benchmarks, datasets, and metrics for frontier AI systems.
  • Train, fine-tune, and evaluate models for safety, security, and other high-impact applications.
  • Develop reliable tooling and infrastructure to run ML experiments and evaluations at scale.
  • Analyze results, identify model failure modes, and translate findings into new experiments and technical approaches.
What We're Looking For
  • 3-5+ years of experience in machine learning, research engineering, or a related technical field.
  • Strong Python skills and experience with ML frameworks such as PyTorch or JAX.
  • Hands-on experience training, fine-tuning, or evaluating modern ML models.
  • Strong understanding of experimental design, model evaluation, and quantitative analysis.
  • Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents.
  • Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
  • Strong software engineering fundamentals and the ability to work independently on ambiguous technical problems.
Nice to Have
  • Experience with RLHF/RLAIF, reward modeling, policy optimization, or other model post-training techniques.
  • Experience evaluating frontier language or multimodal models.
  • Experience with adversarial evaluations, robustness testing, or AI safety.
  • Experience with distributed training, cloud ML infrastructure, or large-scale ML systems.

We don't expect candidates to have experience across every area above. We value deep ML expertise, strong experimental instincts, and the ability to quickly learn new techniques.

Compensation & Benefits
  • Salary Range: $130K-$200K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

Apply