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Remote Learning Development Jobs in Hayward, CA (NOW HIRING)

People Business Partner

Redwood City, CA · On-site +1

$150K - $190K/yr

Flexible quarterly stipend to support wellness, learning and professional development, and personal growth * Monthly Mobile + Internet Stipend : Support for remote and hybrid work connectivity needs

Remote work options for locations outside of the United States are not permitted. CLCnon-credit ... Instructors are responsible for course development, teaching and classroom management. Instructors ...

Showing results 21-40

Remote Learning Development information

See Hayward, CA salary details

$21

$43

$88

How much do remote learning development jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote learning development in Hayward, CA is $43.11, according to ZipRecruiter salary data. Most workers in this role earn between $29.76 and $62.31 per hour, depending on experience, location, and employer.

What is a remote learning development?

A Remote Learning Development job involves designing, creating, and managing online learning experiences for employees, students, or organizations. Professionals in this role develop e-learning courses, training materials, and interactive content using instructional design principles and digital tools. They work with subject matter experts to ensure course content is engaging and effective. This role often requires proficiency in learning management systems (LMS), multimedia production, and educational technology. It is ideal for those with a background in education, instructional design, or digital media.

What are the key skills and qualifications needed to thrive in remote learning development?

To excel in Remote Learning Development, you need a strong background in instructional design, curriculum development, and educational technology, often supported by a relevant degree or certification. Familiarity with Learning Management Systems (LMS), authoring tools like Articulate or Captivate, and collaboration platforms is typically required. Excellent communication, creativity, and time management skills enable successful course development and effective remote teamwork. These capabilities are crucial for designing engaging online learning experiences that meet diverse learner needs in virtual environments.

What are some common challenges faced in remote learning development roles, and how can they be addressed?

A common challenge in Remote Learning Development is ensuring high levels of learner engagement when designing courses for online platforms. Team members also often collaborate across different time zones and may face communication barriers without in-person interaction. To overcome these challenges, effective use of interactive multimedia, clear communication strategies, and regular feedback loops are essential. Professionals in this role frequently participate in ongoing training and team meetings to stay aligned on project goals and evolving best practices. Adapting to new technologies and maintaining flexibility are key to delivering impactful learning experiences remotely.

What are the most commonly searched types of Learning Development jobs in Hayward, CA?

The most popular types of Learning Development jobs in Hayward, CA are:

What job categories do people searching Remote Learning Development jobs in Hayward, CA look for?

The top searched job categories for Remote Learning Development jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Remote Learning Development jobs?

Cities near Hayward, CA with the most Remote Learning Development job openings:

Infographic showing various Remote Learning Development job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $89,674 per year, or $43.1 per hour.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 11 days ago


Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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