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Remote Curriculum Design Jobs in Massachusetts (NOW HIRING)

TripleTen

$181K/yr

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... We are looking for a Learning Experience Lead to design end-to-end learning experiences, turning ...

TripleTen

$60 - $77.50/hr

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... Design and build the projects students work on end to end - scope, learning goals, technical ...

TripleTen

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... Module 7 - AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance)

TripleTen

$152K/yr

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... Host live sessions focused on the design of ML systems: agentic architectures, orchestration ...

TripleTen

$113K - $155K/yr

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... solution design and delivery reviews, and sets the technical bar for the people supporting ...

TripleTen

... curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally ... Module 7 - AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance)

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Remote Curriculum Design information

See Massachusetts salary details

$62.8K

$95.7K

$146.3K

How much do remote curriculum design jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote curriculum design in Massachusetts is $95,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $103,800.00 per year, depending on experience, location, and employer.

What is remote curriculum design?

A Remote Curriculum Design job involves creating, developing, and organizing educational materials and learning experiences for online or distance learning programs. Designers collaborate with educators, subject matter experts, and instructional designers to ensure course content is engaging, effective, and aligned with learning objectives. They use e-learning tools, multimedia resources, and instructional strategies to enhance student understanding. This role typically requires expertise in curriculum development, digital learning platforms, and assessment methods. Remote curriculum designers work from anywhere, providing flexibility while meeting educational needs in various fields.

What does a remote curriculum designer do?

As a Remote Curriculum Designer, your daily tasks often include researching educational standards, collaborating with subject matter experts, developing course outlines, and creating engaging instructional materials such as lesson plans, assessments, and multimedia content. You may also review and revise existing materials to align with learning objectives and feedback from instructors or learners. Much of the work involves virtual meetings, independent project management, and using digital tools to design and test content. This role offers a dynamic mix of creative and analytical work, and close partnership with other education professionals. Continuous learning and adaptation are important, as educational requirements and technologies frequently evolve.

What are the key skills and qualifications needed for remote curriculum design?

To thrive in Remote Curriculum Design, you typically need expertise in instructional design, educational theory, and content development, often supported by a degree in education or related fields. Familiarity with learning management systems (LMS), authoring tools like Articulate or Adobe Captivate, and relevant certifications such as ATD or ISTE can be valuable. Strong communication, project management, and collaboration skills help individuals succeed in virtual and cross-functional teams. These competencies ensure the effective creation, adaptation, and delivery of educational content for diverse online learning environments.

What are popular job titles related to Remote Curriculum Design jobs in Massachusetts?

For Remote Curriculum Design jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Curriculum Design jobs in Massachusetts look for?

The top searched job categories for Remote Curriculum Design jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Curriculum Design jobs?

Cities in Massachusetts with the most Remote Curriculum Design job openings:

Remote Curriculum Design jobs near you
Infographic showing various Remote Curriculum Design job openings in Massachusetts as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $95,727 per year, or $46 per hour.

Research Engineer, Frontier Capabilities

Cambridge, MA • On-site, Remote

Lila Sciences
See more jobs at Lila Sciencesexternal

Full-time

Re-posted 5 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply