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Llm Annotation Jobs in Boston, MA (NOW HIRING)

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Llm Annotation information

See Boston, MA salary details

$11.9K

$45.1K

How much do llm annotation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for llm annotation in Boston, MA is $43,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $43,500.00 per year, depending on experience, location, and employer.

How to become an Llm annotator?

To become an LLM annotator, candidates typically need strong language skills, attention to detail, and familiarity with data annotation tools. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related fields. Training is often provided by employers to ensure accurate annotation of large language model datasets.

What is the difference between Llm Annotation vs Data Labeler?

AspectLlm AnnotationData Labeler
Required CredentialsBasic computer skills, sometimes familiarity with AI toolsBasic skills, often on-the-job training
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, varied industries
Industry UsageAI, machine learning, NLP projectsVarious industries including marketing, healthcare, and tech
Search & Comparison IntentUnderstanding roles in AI data preparationGeneral data labeling tasks

In summary, Llm Annotation involves specialized annotation for large language models, often requiring familiarity with AI tools, while Data Labeler is a broader role focused on labeling data across multiple industries with minimal technical requirements.

What is LLM annotation?

LLM annotation refers to the process of labeling or tagging data specifically for training and evaluating large language models (LLMs) like GPT or BERT. Annotators read text and apply labels, correct errors, or provide feedback to help improve the model's understanding and performance. This work is crucial for supervised learning, as well-annotated datasets help LLMs better recognize patterns, context, and meaning in human language. LLM annotation can involve tasks such as sentiment analysis, named entity recognition, or instruction following. Annotators often use specialized platforms or tools to complete their tasks efficiently and accurately.

What are the key skills and qualifications needed to thrive as an LLM annotation specialist?

To thrive as an LLM Annotation Specialist, you need strong analytical skills, attention to detail, and a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, natural language processing (NLP) tools, and data labeling systems is typically required. Excellent communication, critical thinking, and the ability to follow guidelines precisely are valuable soft skills for this role. These skills ensure high-quality, accurate data annotation, which directly impacts the performance and reliability of large language models.

What are some common challenges faced by LLM annotation specialists, and how can they be addressed?

LLM Annotation specialists often encounter challenges such as interpreting ambiguous language data, maintaining annotation consistency across complex datasets, and keeping up with evolving guidelines. These can be addressed by participating in regular team syncs to clarify guidelines, using annotation tools with built-in quality checks, and collaborating closely with project leads and fellow annotators. Continuous learning and open communication help ensure high-quality, reliable data annotation and support professional growth within the AI and NLP fields.
What are popular job titles related to Llm Annotation jobs in Boston, MA? For Llm Annotation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Llm Annotation jobs in Boston, MA look for? The top searched job categories for Llm Annotation jobs in Boston, MA are:
What cities near Boston, MA are hiring for Llm Annotation jobs? Cities near Boston, MA with the most Llm Annotation job openings:
Llm Annotation jobs near you
Infographic showing various Llm Annotation job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 50% Full Time, 46% Part Time, and 3% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $43,456 per year, or $20.9 per hour.

Principal Software Engineer, AI Observability & Evals Platform

LangChain, Inc

Boston, MA • On-site

$230K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.
About the Role
We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.
Location: This role can be based in our Boston, San Francisco, or NYC office.
What You'll Do
Drive Technical Direction
  • Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
  • Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
  • Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
  • Help shape the product roadmap by partnering closely with product and design - not just executing on it
Raise the Bar for the Team
  • Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
  • Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
  • Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines
Own Reliability and Quality
  • Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
  • Ensure system reliability through strong testing, monitoring, and alerting practices
  • Create and maintain technical documentation, including system design docs and API references
What You'll Bring
  • 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
  • Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
  • Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
  • Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability
  • Depth in operationalizing technical work - you've taken systems from prototype to production and kept them running well at scale
  • Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
  • Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
  • Customer centricity and an ownership mentality - you care how the product lands, not just how the code reads
  • You exemplify our operating principles

Nice to Have
  • Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
  • Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure

Salary Range: $230,000 - $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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