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Remote Chat Support Agent Jobs in Randolph, MA (NOW HIRING)

Licensed Insurance Sales Agent (Remote)

Boston, MA · Remote

$80K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

Our fully remote team is supported by proven systems, structured mentorship, and a culture that develops leaders. We seek motivated individuals interested in building a career in insurance sales and ...

It delivers real-time, contextually aware conversations that help brands support, convert, and ... including remote members and lead engineers. * Exceptional communication skills, capable of ...

Agentic AI Intern

Boston, MA · Remote

  • Medical

  • Dental

  • Vision

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents

Agentic AI Intern

Boston, MA · Remote

  • Medical

  • Dental

  • Vision

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents

It delivers real-time, contextually aware conversations that help brands support, convert, and ... including remote members and lead engineers. * Exceptional communication skills, capable of ...

Be Seen First

Real income in this business comes from working quality leads with the right support behind you ... Work Remote. Start Fast. Sell From Anywhere. This is a remote-first opportunity built to get you ...

Remote Life Insurance Agent

Boston, MA · On-site +1

$30K - $160K/yr

We'll provide the training, mentorship, and support to help you succeed. We proudly partner with Symmetry Financial Group, recognized by FORBES as one of the Top 10 Companies Hiring High-Paying Jobs ...

Life Insurance Agent

Roslindale, MA · Remote

$50K - $100K/yr

  • Medical

  • Life

  • Retirement

Kimbrell Agency Remote Employment Type: Contractor Compensation $50,000 to $100,000 per year (plus ... Let's be real--most agencies are desperate to hire anyone with a pulse, offer minimal support, and ...

Showing results 21-40

Remote Chat Support Agent information

See Randolph, MA salary details

$11

$19

$31

How much do remote chat support agent jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote chat support agent in Randolph, MA is $19.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $22.31 per hour, depending on experience, location, and employer.

What is a remote chat support agent?

A Remote Chat Support Agent assists customers by answering questions, troubleshooting issues, and providing support through online chat platforms. They typically work from home and communicate with customers via text-based messaging rather than phone calls. This role requires strong written communication skills, problem-solving abilities, and familiarity with the company’s products or services. Agents may handle multiple conversations at once and use scripts or knowledge bases to provide accurate responses.

What does a remote chat support agent do?

A typical day for a Remote Chat Support Agent involves responding to customer inquiries via live chat, addressing concerns, troubleshooting issues, and documenting interactions in the company's support platform. Agents often manage multiple chat conversations simultaneously while meeting response time and customer satisfaction targets. They may collaborate with team members and supervisors virtually, escalate complex issues as needed, and participate in regular training sessions to stay updated on products or services. The role is generally structured with set shifts, but offers flexibility in work location, making it a popular choice for those seeking remote opportunities.

Are remote chat support agent jobs legit?

Remote chat support agent jobs are legitimate positions offered by many companies to handle customer inquiries via online chat platforms. These roles typically require good communication skills, basic computer knowledge, and sometimes specific training or certifications. However, job seekers should be cautious of scams and verify the employer's credibility before applying or sharing personal information.

How do I become a remote chat support agent?

To become a remote chat support agent, you typically need strong communication skills, basic computer proficiency, and familiarity with customer service software or live chat platforms. Many employers require a high school diploma or equivalent, and some may prefer prior customer service experience or relevant certifications. Training is often provided by the employer to familiarize new agents with company policies and tools.

How much do remote chat support agents get paid?

Remote chat support agents typically earn between $12 and $20 per hour, depending on experience, company, and location. Some roles offer additional benefits such as flexible schedules and training in customer service tools. Salaries can vary based on industry and whether the position is full-time or part-time.

What job categories do people searching Remote Chat Support Agent jobs in Randolph, MA look for?

The top searched job categories for Remote Chat Support Agent jobs in Randolph, MA are:

What cities near Randolph, MA are hiring for Remote Chat Support Agent jobs?

Cities near Randolph, MA with the most Remote Chat Support Agent job openings:

Infographic showing various Remote Chat Support Agent job openings in Randolph, MA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $40,444 per year, or $19.4 per hour.

AI Development & Support Engineer

Starfish Storage Corporation

Waltham, MA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

How to Apply
Provide the following required materials:
  • Resume
  • Cover Letter - In your application, you must submit a cover letter. Please provide brief, concrete examples for the following questions. We value specific technical details, tool names, and honest assessments of where technology succeeds and fails.
  1. Describe a project where you used an AI tool (e.g., ChatGPT, Claude, Cursor, GitHub Copilot, etc) to write or significantly speed up your coding. What were you building, what was your specific approach to instructing the AI, and where did the AI fall short?
  2. All LLMs have specific coding quirks and repetitive errors. Name the specific model you use most (e.g., Opus, GPT-5.x) and describe a highly specific, recurring syntax or logic error it makes that drives you crazy. How do you work around it?
  3. If a hot new open-source AI model gets released tomorrow and you want to test it out locally on your own laptop or machine (not just using a web browser), how would you set that up? What specific software, tools, or frameworks would you use to get it running?

Location
Your home office or our Waltham, MA HQ or hybrid
Qualifications
Hard Requirements
  • Solid grasp of agent architectures, prompt engineering, and MCP or tool-use patterns
  • Hands-on experience with local/open-source LLMs: you've run them, tuned them, deployed them
  • Comfortable working in Linux environments and debugging at the command line
  • Strong communicator: you can explain what's broken and why to both engineers and non-engineers
  • This is not a role for someone who has tried out some youtube tutorial videos on their own. You need to have some real experience implementing this.

Helpful Background
  • 2+ years Python development - real shipped and used code
  • Experience with RAG pipelines or vector databases
  • Familiarity with REST APIs and integration patterns
  • Docker comfort
  • Background in storage systems or HPC environments (this helps more than you think)

Working Style
  • You can context-switch between deep development work and supporting a customer mid-debug
  • You're comfortable being the person who figures things out when there's no playbook yet

About Starfish Storage
Starfish Storage is an established company that maintains a startup culture mindset. We cater to a diverse client base, serving industries such as life sciences, artificial intelligence, and research computing. Our technology is critical to modern organizations, helping customers organize, manage, and move the tens of billions of files central to their operations.
Most AI work right now is happening in the cloud, with managed APIs, and relatively clean data. Some of our customers can't do that: they're operating in classified or regulated environments with filesystem metadata spanning billions of files. The AI problems here are genuinely hard, the deployments are genuinely constrained, and the work actually matters to science and research.
If you want AI work that's genuinely constrained, genuinely consequential, and can't phone home to OpenAI - this is it.
Job Overview
Starfish manages petabytes of unstructured data for national labs, research institutions, fintech, and pharma, the kind of data that doesn't fit neatly into databases or cloud buckets. We're building an AI-native layer on top of that: MCP servers, agentic workflows, local LLM deployments, and tools that let researchers and engineers actually talk to their storage infrastructure. We're tackling hard questions too: should an agent be permitted to move 2PB of data autonomously? How do you govern that?
In this role, you'll build and ship MCP servers, deploy and tune local LLMs, write custom agents for real customers with real petabyte-scale problems, and get them running in environments where "just use the API" isn't an option. You'll also support customers when things don't work: which means you need to actually understand what you've built.
Responsibilities and Duties include:
MCP & Agent Development
  • Build and expand MCP servers that expose Starfish's data management capabilities to LLM-powered workflows
  • Develop intelligent agents that can reason over storage metadata at scale - including local LLM deployment and configuration using vLLM, Ollama, or similar
  • Create workflow automation and chat-based interfaces for querying and acting on Starfish data
  • Build proof-of-concept implementations and turn them into production-grade features

Customer-Facing Technical Work
  • Support customers through installation, configuration, and troubleshooting of AI features and integrations
  • Get on calls with technical teams, understand their use cases, and translate requirements into working agents
  • Document what you learn so the next person doesn't have to figure it out from scratch

Benefits
We recognize that satisfaction and well-being are essential to long-term sustainability and business success. Full-time employees are eligible for the following benefits:
  • Salary with potential for future commissions
  • Multiple health insurance options
  • Medical FSA and Dependent Care FSA
  • Dental insurance
  • Vision insurance
  • 401(k) savings plan with employer matching
  • Employer-sponsored long-term disability insurance
  • Paid holidays and PTO (increasing with tenure)
  • Discounted health club membership
  • Many opportunities for growth

Equal Opportunity Employer
Starfish Storage provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status, in accordance with applicable federal, state, and local laws.
This position may require a background check.
Salary140k to 210k