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Llm Annotation Jobs in Newark, NJ (NOW HIRING)

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation ...

Forward Deployed ML Engineer

New York, NY · On-site

$170K - $190K/yr

Work with the clinical annotation team to build gold-standard datasets and resolve edge cases ... Practical LLM experience: prompt engineering, fine-tuning, RAG, evaluation design * Built ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge

Medical Director, Clinical AI

New York, NY · Hybrid

$87K - $119K/yr

Oversee clinical operations of the AI arm, including annotation strategy, safety protocols ... LLM capabilities and failure modes in a clinical context * Exceptional communicator - able to ...

Work with the clinical annotation team to build gold‑standard datasets and resolve edge cases ... Built and deployed AI agents or multi‑step LLM pipelines (not just single‑call wrappers) - you ...

... annotation, and generative AI services--to Fortune 500 leaders. TransPerfect AI offers a premier product suite that addresses the most critical bottlenecks in the AI lifecycle, from LLM fine-tuning ...

Software Engineer, Agents

New York, NY · On-site

$130K - $500K/yr

Agents/LLM : LangGraph, LangChain, FastMCP, Harbor, NemoGym * Observability : Datadog, PostHog ... Studio - We own Mercor's evaluation system & annotation platform for RL environments and tasks. We ...

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Llm Annotation information

See Newark, NJ salary details

$11.5K

$43.4K

How much do llm annotation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for llm annotation in Newark, NJ is $41,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $41,800.00 per year, depending on experience, location, and employer.

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 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.

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 companies provide training. Experience with machine learning or natural language processing can be beneficial but is not always necessary.

What are popular job titles related to Llm Annotation jobs in Newark, NJ?

For Llm Annotation jobs in Newark, NJ, the most frequently searched job titles are:

What cities near Newark, NJ are hiring for Llm Annotation jobs?

Cities near Newark, NJ with the most Llm Annotation job openings:

AI Senior Engineer - $220k-$280k

Everforth, Cybercoders

New York, NY • On-site

$300K - $600K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

AI Senior Engineer

Senior AI Engineer - LLM Systems

We are building production-grade AI products that tackle complex, high-stakes problems in (fintech / accounting / legaltech), and we need a senior engineer who can take LLM-powered systems from prototype all the way to reliable, monitored, production services - not just demos.

What you'll do

  • Design and ship end-to-end LLM-driven features and services using clean-code, CI/CD, and observability best practices

  • Architect and build retrieval-augmented generation (RAG) pipelines and vector retrieval systems that stay accurate, low-latency, and fresh

  • Develop agent frameworks and tool-calling pipelines that coordinate multiple models and external systems for complex multi-step workflows

  • Define and run evaluation frameworks - automated evals, human-in-the-loop annotation, and regression suites - to measure accuracy, safety, and bias

  • Instrument production models with monitoring, alerting, and A/B testing to catch regressions before users do

  • Partner with product, design, security, and domain experts to translate business requirements into actionable technical specs

  • Mentor engineers through code reviews and establish best practices for model development, deployment, and post-deployment maintenance

What you need

  • 5+ years of production backend or systems engineering experience; strong Python and modern practices (testing, CI/CD, containerization)

  • Hands-on experience with LLMs and transformer architectures including fine-tuning, prompt engineering, or adapting foundation models for production

  • Demonstrated experience designing and integrating retrieval systems (vector databases, dense/sparse retrieval, similarity search) with LLMs

  • Practical experience building agent and tool-calling pipelines with multi-step orchestration and state management

  • Experience with cloud platforms (AWS, GCP, or Azure), MLOps tooling, and cost-effective inference scaling

Nice to have

  • Domain experience in fintech, accounting, audit, or legaltech - especially regulatory, privacy, or compliance considerations

  • Familiarity with specific tooling: LangChain, LlamaIndex, Weaviate, FAISS, Pinecone, Ray, or MLflow

  • Experience designing human annotation workflows and managing eval suites at scale

  • Background collaborating with security and privacy teams to implement guardrails and access controls in regulated environments

Pay & benefits

$220k-$280k base - $300k-$600k Equity 

Location & schedule

Manhattan, NY - Onsite 

Benefits

Benefits

  • Unlimited PTO

  • Wellhub Platinum membership

  • Comprehensive health, dental, and vision coverage

  • Free company dinner every day

- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/26/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

Salary

$220000 - $280000 USD per year

CyberCoders logo

About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

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