ZipRecruiter

Log In

2

No Experience Machine Learning Data Annotation Jobs in New York

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll work side by side with experienced ML Researchers on projects that we've selected for their ... Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll work side by side with experienced ML Researchers on projects that we've selected for their ... Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

Jane Street

Machine Learning Researcher

New York, NY

Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

Jane Street

Machine Learning Researcher

New York, NY

Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging ... There's no fixed set of skills we are looking for, but you should bring: * Practical experience ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

... data features and predictive models The Candidate * Minimum 2 years of applied experience developing deep learning solutions across diverse fields * Proven capability in applying machine learning ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

... data features and predictive models The Candidate * Minimum 2 years of applied experience developing deep learning solutions across diverse fields * Proven capability in applying machine learning ...

Varsity Tutors

Machine Learning Tutor

White Plains, NY · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Paterson, NJ · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Hempstead, NY · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Guides students through data preprocessing, feature selection, building and comparing ...

previous page

Showing results 41-60

All JobsMachine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation JobsNo Experience Machine Learning Data Annotation Jobs in New York

No Experience Machine Learning Data Annotation information

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are the most commonly searched types of Machine Learning Data Annotation jobs in New York?

The most popular types of Machine Learning Data Annotation jobs in New York are:

What are popular job titles related to No Experience Machine Learning Data Annotation jobs in New York?

For No Experience Machine Learning Data Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning Data Annotation jobs in New York look for?

The top searched job categories for No Experience Machine Learning Data Annotation jobs in New York are:

What cities in New York are hiring for No Experience Machine Learning Data Annotation jobs?

Cities in New York with the most No Experience Machine Learning Data Annotation job openings:

No Experience Machine Learning Data Annotation jobs near you
Infographic showing various No Experience Machine Learning Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Machine Learning Researcher

Jane Street

New York, NY • On-site

Full-time

Re-posted 5 days ago

Job description

About the Position
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques.
You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.
Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:
  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things

If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.

Apply