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Online Data Annotation Jobs in Secaucus, NJ (NOW HIRING)

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

Familiarity with active learning or online learning approaches. * Experience with SQL and building ... most sensitive data. * Ownership of the annotation and quality processes that determine ...

Alice

Freelancer - GenAI Experts

New York, NY · Remote

Support data annotation, curation, and quality control processes * Summarize findings into ... Research online behaviors of threat actors to inform realistic prompt design * Cover multiple ...

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

Support data annotation, curation, and quality control processes * Summarize findings into ... Research online behaviors of threat actors to inform realistic prompt design * Cover multiple ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... An online sample of your analytical and/or data visualization abilities is greatly appreciated.

Palona AI

AI Modeling Engineer

New York, NY · On-site

Build rigorous offline and online evaluations that measure task completion, accuracy, safety ... annotation, production feedback, and difficult edge cases while protecting sensitive data.

Palona AI

AI Modeling Engineer

New York, NY

Build rigorous offline and online evaluations that measure task completion, accuracy, safety ... annotation, production feedback, and difficult edge cases while protecting sensitive data.

All JobsOnline Data Annotation JobsOnline Data Annotation Jobs in Secaucus, NJ

Online Data Annotation information

What is an online data annotation?

An Online Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video to help improve machine learning models. Annotators follow guidelines to ensure accuracy and consistency, making AI systems more effective. This work is typically done remotely and requires attention to detail. Many companies use data annotation to train AI applications like chatbots, image recognition software, and search engines.

What does an online data annotation do?

As an Online Data Annotation specialist, your day will usually involve reviewing various types of data—such as images, text, or audio—and carefully applying labels or tags according to strict guidelines provided by clients or team leads. Most positions are remote and individual-focused, allowing flexibility in managing your workflow, though you may regularly communicate with supervisors for feedback or updates. Deadlines and productivity targets are common, so staying organized and focused on accuracy is crucial. Over time, you may have opportunities to work on more complex annotation projects or take on quality assurance responsibilities, supporting your professional growth in the data and AI sectors.

What are the key skills and qualifications needed to thrive in online data annotation, and why are they important?

To thrive as an Online Data Annotation professional, you need strong attention to detail, excellent reading comprehension, and basic computer proficiency, often demonstrated through a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and occasionally frameworks like Labelbox or Prodigy is valuable, though on-the-job training is commonly provided. Outstanding time management, adaptability, and the ability to follow precise guidelines will help you excel in this role. These skills and qualities ensure accurate, high-quality data labeling that powers AI and machine learning applications.

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The most popular types of Data Annotation jobs in Secaucus, NJ are:

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For Online Data Annotation jobs in Secaucus, NJ, the most frequently searched job titles are:

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Online Data Annotation jobs near you
Infographic showing various Online Data Annotation job openings in Secaucus, NJ as of August 2026, with employment types broken down into 6% Internship, 62% Full Time, 13% Part Time, and 19% Contract. Highlights an 44% In-person, and 56% Remote job distribution.

Jr. AI Engineer - Data Annotation

Teleskope

New York, NY • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-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.

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