ZipRecruiter

Log In

1

Data Annotation Engineer Jobs in Newark, NJ (NOW HIRING)

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

... annotation guidelines to support team scaling and onboarding. About You * Solid programming ability, with hands-on Python experience and a willingness to dig into scripts, SQL, and data wrangling.

Encord

Human Data Operations Strategist

New York, NY · On-site

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

Encord

Human Data Operations Strategist

New York, NY · On-site

You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models. What you'll do

Distyl AI

Research Engineers, Data

New York, NY · On-site

$150K - $250K/yr

Develop synthetic data, annotation, and feedback-loop strategies to improve system performance in ... Strong Data Engineering Fundamentals: You write clean Python and SQL, understand data modeling and ...

Meta

Sourcing Manager, Data Operations

New York, NY · Remote

$139K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... Experience in managing high-volume data annotation sourcing programs * Demonstrated ability to ...

Meta

Sourcing Manager, Data Operations

New York, NY · On-site

$139K - $196K/yr

... AI data annotation and collection vendors • Proactively identify, track, and manage risks and ... g., prompt/context engineering, agent orchestration) and staying current with emerging AI ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

Partner with engineering on automated validation (schema completeness, duplicates, time sync ... Who You Are Required Background * 5+ years working at the intersection of ML and data - annotation ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

Smarsh

Lead Data Scientist

New York, NY

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Data annotation and quality review * Exploratory data analysis and model fail state analysis

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements. * Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and ...

Mercor

Bilingual Analyst - Bengali Expert

New York, NY · Remote

$15 - $20/hr

... linguistics, engineering) Preferred * Prior experience with RLHF, model evaluation, or data annotation work * Experience writing or editing high-quality written content * Experience comparing ...

Latent

Clinical Informatics Specialist

New York, NY · On-site

$75K - $100K/yr

The Clinical Specialist will play a critical role in data generation, annotation, and evaluation to ... You will partner closely with product managers, engineers, and data scientists to ensure Latent ...

Scale AI, Inc.

Frontier Agents Engineer

Manhattan, NY · On-site

... our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role ... You'll work directly with customer engineering teams to integrate AI into their critical workflows.

next page

Showing results 1-20

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Newark, NJ

Data Annotation Engineer information

See Newark, NJ salary details

$53.9K

$154.2K

$206K

How much do data annotation engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data annotation engineer in Newark, NJ is $154,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $205,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Newark, NJ? For Data Annotation Engineer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Newark, NJ look for? The top searched job categories for Data Annotation Engineer jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Data Annotation Engineer jobs? Cities near Newark, NJ with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Newark, NJ as of July 2026, with employment types broken down into 71% Full Time, 11% Part Time, and 18% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $154,204 per year, or $74.1 per hour.
Jr. AI Engineer - Data Annotation

Jr. AI Engineer - Data Annotation

Teleskope

New York, NY • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

About Teleskope
Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs, and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.
Fresh off our $25 million Series A round, Teleskope is entering a high-growth phase backed by top-tier investors and exceptional product-market fit.
About the Role
We're looking for a hungry, hands-on AI Engineer to join our data science team. You'll do the work directly, labeling and reviewing classification data and running QC, but you won't just execute. You'll bring an engineer's mindset to it: when a task is repetitive, you script it; when quality is hard to measure, you build a way to measure it. You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more consistent, and more scalable.
This is a rapidly evolving role, and we expect you to context switch comfortably as priorities shift. You'll work shoulder-to-shoulder with data scientists and ML engineers, people who think about data the way you do, and the labels and quality signals you produce feed directly into the models that protect real customers' most sensitive data. The work is high-impact and the data is messy; a big part of the job is learning, through the work itself, what it takes to make it usable.
This is a hybrid role requiring 3+ days in-office in New York City.
Who Should Apply
We're looking for someone with programming ability, dependability, and the drive to learn on the job. Recent grads are welcome, and CS and STEM backgrounds are a great fit. What matters most is that you can think critically, you're excited to work through messy data, you can context switch as priorities change, and you want to grow fast in a fast-moving environment.
What You'll Do
  • Do hands-on data annotation and quality control (labeling, reviewing, and correcting classification outputs) as a core member of the data science pipeline.
  • Take ownership of improving and scaling the process: find the bottlenecks, repetitive steps, and sources of error, and fix them with Python, SQL, and agentic workflows.
  • Build and run quality control checks that catch labeling errors, measure inter-annotator agreement, and surface systematic issues before they reach production.
  • Work closely with data scientists and ML engineers to close the loop between real-world performance and model improvement.
  • Context switch across labeling, quality analysis, scripting, and process work as priorities evolve.
  • Document QC processes and annotation guidelines to support team scaling and onboarding.
About You
  • Solid programming ability, with hands-on Python experience and a willingness to dig into scripts, SQL, and data wrangling.
  • Comfortable using agentic development tools, or eager to ramp up on them fast.
  • A quality-first mindset. You notice when something is off in the data and won't let it slide.
  • Dependable and adaptable. Teammates can count on you, and you stay effective as priorities shift.
  • Energized by messy, real-world data and by working alongside other data-minded people.
  • Hungry, self-directed, and ready to grow with Teleskope as we scale.
Nice to Have
  • Familiarity with feedback loops in ML systems and how label quality connects to model performance.
  • Experience with annotation platforms (Label Studio, Prodigy, Scale, or custom-built systems).
  • Familiarity with active learning or online learning approaches.
  • Experience with SQL and building lightweight dashboards to track quality metrics.
  • Background in NLP or text classification workflows.
What You'll Get
  • A seat alongside data scientists and ML engineers, data-minded people to learn from every day.
  • Work that visibly matters. Your labels feed the models that protect real customers' most sensitive data.
  • Ownership of the annotation and quality processes that determine classification accuracy across the platform.
  • Room to grow fast, with real ownership from day one as Teleskope scales.
  • A beautiful, well-stocked office in NYC's Financial District.
  • Flexible vacation and work-from-home days.
  • Competitive salary and meaningful equity.
  • Health, vision, dental, 401k, and more benefits, heavily subsidized by Teleskope.
What We Value
At Teleskope, we value builders who care about the details. This role is for someone who sees data quality not as a support function but as a force multiplier, and who takes pride in making the people around them more effective. We look for dependable teammates who ship iteratively, take ownership, and understand that great ML starts with great data.

Apply