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Overnight Chatbot Train Ai Jobs (NOW HIRING)

Nexusflow.ai Inc.

Backend Engineer

Palo Alto, CA

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... We train large language models and build last-mile quality dev tooling for copilots & agents on ...

Nexusflow.ai Inc.

Applied ML Engineer

Palo Alto, CA · On-site

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... We train large language models and build last-mile quality dev tooling for copilots & agents on ...

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Overnight Chatbot Train Ai information

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$36K

$122.1K

$143.5K

How much do overnight chatbot train ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for overnight chatbot train ai in the United States is $122,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Chatbot Train Ai vs Chatbot Developer?

AspectOvernight Chatbot Train AiChatbot Developer
CredentialsBasic understanding of AI, training data, and chatbot platformsProgramming skills, knowledge of AI frameworks, and software development certifications
Work EnvironmentRemote or flexible hours, focused on data input and training tasksOffice or remote, involved in coding, designing, and testing chatbot applications
Industry UsageUsed mainly in customer service automation and AI training companiesEmployed across tech firms, startups, and enterprises developing chatbot solutions

While Overnight Chatbot Train Ai focuses on training and inputting data to improve chatbot AI models, Chatbot Developers are responsible for designing, coding, and maintaining chatbot applications. Both roles are essential in the AI chatbot industry but differ in skills, responsibilities, and work environment.

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Overnight Chatbot Train Ai jobs near you
Infographic showing various Overnight Chatbot Train Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $122,134 per year, or $58.7 per hour.

Backend Engineer

Nexusflow.ai Inc.

Palo Alto, CA

Full-time

Re-posted 29 days ago

Job description

About Nexusflow.ai

Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2, rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling, the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena.

Position: Backend Engineer

Nexusflow is currently adding Backend Engineers to our team. Our Backend Engineers package up our technology in models and last-mile quality tooling. Our Backend Engineers will be the driving force to build our products and solutions, in extensive collaboration with our ML Engineers and Front-end Engineers.

Responsibilities

  • API system development for copilot & agent quality tooling

  • API system development for copilot serving and integration with a focus on enterprise-grade requirements in the following areas

    • Integration with on-prem & cloud compute vendors

    • Integration with software tools required in customer oriented solutions

  • Distributed system and optionally GPU performance optimization

  • Wear many hats and collaborate with the whole team for product development, deployment and customer success

Qualification Required

  • Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

  • Experience in building backend for application or platform API systems

Preferred
  • Working experience in fast-pace team environment  

  • Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

  • Experience in projects involving LLMs

Apply