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Remote Communication Research Jobs in Boston, MA

Massgeneralbrigham

Clinical Research Associate

Boston, MA · Remote

$20.16 - $29.01/hr

As a not-for-profit, we support patient care, research, teaching, and community service, striving ... Effective interpersonal and communication skills. Additional Job Details (if applicable) Remote ...

Mass General Brigham

Clinical Research Associate

Boston, MA · On-site +1

$20.16 - $29.01/hr

As a not-for-profit, we support patient care, research, teaching, and community service, striving ... Effective interpersonal and communication skills. Additional Job Details (if applicable) Remote ...

YO AI Labs

Lawyer - Remote

Boston, MA · Remote

$140 - $350/hr

Contractor Location: Remote - United States Job Overview We are seeking experienced US-based ... legal research, analysis, and drafting. * Excellent written and verbal communication skills.

YO AI Labs

Lawyer - Remote

Boston, MA · Remote

$140 - $350/hr

Contractor Location: Remote - United States Job Overview We are seeking experienced US-based ... legal research, analysis, and drafting. * Excellent written and verbal communication skills.

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Remote Communication Research information

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$32.6K

$63.8K

$103.2K

How much do remote communication research jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote communication research in Boston, MA is $63,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $76,000.00 per year, depending on experience, location, and employer.

What is a remote communication researcher?

A Remote Communication Researcher studies how people interact and share information using digital communication tools while working remotely. They analyze communication patterns, technologies, and outcomes to improve remote collaboration and productivity. This role often involves conducting surveys, interviews, and data analysis to identify challenges and develop solutions for effective virtual communication. Their findings help organizations adapt strategies for remote teams, ensuring clear and efficient information flow.

What are some common challenges in remote communication research, and how can professionals overcome them?

One of the most common challenges in Remote Communication Research is maintaining seamless collaboration and data integrity when team members are distributed across different locations and time zones. Professionals often rely heavily on digital communication tools, which can sometimes lead to misunderstandings or delays in feedback. Overcoming these challenges involves establishing clear protocols for virtual meetings, utilizing collaborative platforms for data sharing, and setting regular check-ins to ensure alignment. Proactively communicating and documenting research progress helps keep the entire team informed and engaged, fostering a productive and supportive remote work environment.

What are the key skills and qualifications needed to thrive as a remote communication researcher, and why are they important?

To thrive as a Remote Communication Researcher, you need strong analytical skills, experience in qualitative and quantitative research methods, and typically a degree in communications, social sciences, or a related field. Familiarity with data analysis software (such as NVivo or SPSS), survey platforms, and collaboration tools like Zoom or Slack is often required. Excellent written and verbal communication, critical thinking, and self-motivation help researchers excel when working independently and presenting findings. These skills and tools are crucial for generating actionable insights and maintaining effective collaboration in a remote research environment.

What are the most commonly searched types of Communication Research jobs in Boston, MA?

The most popular types of Communication Research jobs in Boston, MA are:

What are popular job titles related to Remote Communication Research jobs in Boston, MA?

For Remote Communication Research jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Communication Research jobs in Boston, MA look for?

The top searched job categories for Remote Communication Research jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Communication Research jobs?

Cities near Boston, MA with the most Remote Communication Research job openings:

Remote Communication Research jobs near you
Infographic showing various Remote Communication Research job openings in Boston, MA as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Full-time

Re-posted 14 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