ZipRecruiter

Log In

1

Llm Annotation Jobs in New Rochelle, NY (NOW HIRING)

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

... LLM) solutions that power next‑generation compliance and surveillance systems. You'll work on ... Data annotation and quality review. * Exploratory data analysis and model fail state analysis.

Smarsh

Lead Data Scientist

New York, NY

... LLM) solutions that power next-generation compliance and surveillance systems. You'll work on ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Smarsh

Lead Data Scientist

New York, NY · On-site +1

... LLM) solutions that power next-generation compliance and surveillance systems. You'll work on ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Meta

Product Manager, Evals & Improvement

New York, NY

$146K/yr

Deep understanding of LLM capabilities and failure modes Preferred Qualifications: * Experience building annotation, labeling, or crowd-sourcing systems * Experience with reinforcement learning from ...

Mercor

Fullstack Engineer, RL Environments

New York, NY · On-site

$130K - $500K/yr

... annotation, or human-in-the-loop AI workflows. * Background in design systems, developer-facing APIs, or internal platform engineering. * Exposure to AI tools, LLM-powered products, or real-time data ...

Socket.dev

Agentic AI Engineer)

Manhattan, NY · On-site

$107.25 - $214.50/hr

... LLM observability and drift detection in production STRONGLY PREFERRED * Experience building knowledge acquisition workflows for domain-specific AI -- annotation interfaces, version-controlled ...

Nerdleveltech

Senior Vue Developer

Manhattan, NY · On-site

$60 - $79.25/hr

... Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte ... LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you ...

previous page

Showing results 41-60

All JobsLlm Annotation JobsLlm Annotation Jobs in New Rochelle, NY

Llm Annotation information

See New Rochelle, NY salary details

$11.3K

$42.7K

How much do llm annotation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for llm annotation in New Rochelle, NY is $41,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,200.00 and $41,200.00 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 New Rochelle, NY?

For Llm Annotation jobs in New Rochelle, NY, the most frequently searched job titles are:

What cities near New Rochelle, NY are hiring for Llm Annotation jobs?

Cities near New Rochelle, NY with the most Llm Annotation job openings:

Llm Annotation jobs near you
Infographic showing various Llm Annotation job openings in New Rochelle, NY as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $41,162 per year, or $19.8 per hour.

Information Technology

Cravath, Swaine & Moore LLP

New York, NY • Hybrid

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

We are seeking a highly skilled and strategic Associate Director, Data Architecture & Platforms to lead the evolution of our firm’s data ecosystem. This role is central to modernizing our data infrastructure, enabling scalable analytics, and driving enterprise-wide data integration.


The Associate Director, Data Architecture & Platforms will lead the Firm’s data engineering, integration strategy, cloud data migration, and reporting capabilities. This role is critical to modernizing the Firm’s data ecosystem—driving the design and delivery of scalable, cloud-based data platforms while ensuring seamless integration across enterprise systems.


ESSENTIAL RESPONSIBILITIES:

Data Architecture & Integration

  • Leads the architecture, development, and implementation of enterprise data lakehouse, ensuring reliable and high-quality data flows across systems;
  • Works closely with various departments around the firm to establish and enforce a centralized data dictionary, including clear data definitions, ownership, lineage, and quality standards across integrated systems;
  • Establishes and enforces integration standards, frameworks, and best practices across hybrid (on-premise and cloud) environments;
  • Oversees data ingestion, transformation, and orchestration using modern tools within the Microsoft ecosystem;
  • Manages relationships with technology vendors and strategic partners and collaborates across firm departments to align priorities and drive delivery;
  • Defines and executes the firm’s cloud data migration strategy, including prioritization of workloads and delivery of a structured Azure migration roadmap;
  • Assesses current infrastructure and design scalable, secure, and cost-efficient cloud architecture aligned to business objectives;
  • Ensures compliance with security, governance, and regulatory requirements;
  • Builds, mentors, and leads a team of data engineers and BI developers.


Reporting & Analytics

  • Oversees the delivery of enterprise reporting and analytics capabilities, ensuring timely access to accurate and actionable insights;
  • Partners with various departments to enable scalable self-service reporting and dashboarding solutions;
  • Sets and enforces enterprise standards for reporting—performance, scalability, and governance—so leadership can trust the platform at scale; and
  • Performs additional duties, as assigned.

CANDIDATE REQUIREMENTS:

  • Bachelor's Degree in Computer Science, Information Technology, or related technical field;
  • 10+ years of experience in data, engineering, or technology roles, including at least 3–5 years in a team leadership capacity;
  • Proven track record delivering large-scale data integration and cloud migration programs, ideally within Microsoft Azure;
  • Knowledge of Microsoft Azure, Microsoft Fabrick or Databricks, Power BI or similar tech for analytics, reporting, and semantic models;
  • Good understanding of REST API, JSON, XML, and web services;
  • Strong understanding of SQL and ability to create performance optimized code;
  • Advanced scripting skills (e.g., Python, PowerShell);
  • Demonstrated experience with LLM-enabled workflows and annotation pipelines;
  • Experience working with version control systems and solid understanding of CI/CD pipelines;
  • Strong expertise in data architecture, data modeling, and modern engineering practices;
  • Solid understanding of data governance, security, and regulatory requirements in enterprise environments;
  • Excellent communication and stakeholder management skills, with the ability to influence at all levels;
  • Proven success in building and leading high-performing technical teams;
  • Ability to operate both strategically and hands-on in a fast-paced environment;
  • Strong problem-solving skills and ability to manage ambiguity;
  • Passion for innovation and continuous improvement in data and technology; and
  • Ability to work additional hours, as needed.


This position is located in our New York office, and currently has a hybrid work schedule, but that is subject to change. The estimated salary range for this position is $200,000 to $300,000. The actual salary offered will be based on a wide range of factors, including relevant skills, training, experience, education, and where applicable, licensure or certification obtained. Market and Firm factors are also considered. In addition to base salary and discretionary bonus(es), we offer a generous employee benefits package including, but not limited to, paid time off, medical, dental, vision care, 401(k) and substantial health club discounts.

Apply