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Learning Analytics Remote Jobs in Washington (NOW HIRING)

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The role involves building machine learning models throughout their lifecycle, analyzing large ...

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The role involves building machine learning models throughout their lifecycle, analyzing large ...

Work with signal processing data and time-series analysis * Improve local development and CI/CD for ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

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Learning Analytics Remote information

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 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 the key skills and qualifications needed to thrive as a Learning Analytics professional working remotely, and why are they important?

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 the most commonly searched types of Learning Analytics jobs in Washington? The most popular types of Learning Analytics jobs in Washington are:
What cities in Washington are hiring for Learning Analytics Remote jobs? Cities in Washington with the most Learning Analytics Remote job openings:
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates โ€“ no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities โ€ข Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. โ€ข Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. โ€ข Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. โ€ข Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. โ€ข Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. โ€ข Research and evaluate emerging technologies. โ€ข Develop data science solutions based on tools and cloud computing infrastructure. โ€ข Perform other duties as assigned.

Requirements โ€ข Advanced degree in in computer science, mathematics, physics, statistics. โ€ข Strong experience with applying expertise in model design, training, validation, and monitoring. โ€ข Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. โ€ข Experience with cloud computing infrastructure. โ€ข Experience with Computer Vision, image processing and video analytics. โ€ข Experience with Natural Language Processing/ Natural Language Understanding. โ€ข Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. โ€ข Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). โ€ข Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. โ€ข Ability to work individually, and as part of a team. โ€ข Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: โ€ข Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. โ€ข Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. โ€ข A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. โ€ข Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. โ€ข Knowledge on principles of A.I. Security and Safety. โ€ข Experience with Advance Reinforcement Learning Paradigms. โ€ข Experience with Speech Recognition. โ€ข Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1