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No Experience Machine Learning Data Annotation Jobs in New York

Qualcomm

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Master's degree in Computer Science, Engineering, Information Systems, or related field. * 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras ...

exacare ai

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Improve data processing , annotation workflows , and ML system efficiency * Deploy and maintain the ... Several years of experience in machine learning engineering, MLOps, ML infrastructure, data ...

Lyft

Machine Learning Engineer

New York, NY · On-site

Leverage data-driven insights to inform and refine ML strategies and solutions * Write production ... Experience with deep learning technologies for recommendation systems, including TensorFlow ...

New

Lyft

Machine Learning Engineer

New York, NY · On-site

Leverage data-driven insights to inform and refine ML strategies and solutions * Write production ... Experience with deep learning technologies for recommendation systems, including TensorFlow ...

New

Point72

Machine Learning Engineer

New York, NY · On-site

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Point72

Machine Learning Engineer

New York, NY · On-site

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

One (1) year of experience must include: Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas ...

Vibepilot

Machine Learning Researcher

Manhattan, NY · On-site

$120 - $180/hr

Collaborate with data engineers to optimize data pipelines for model training.* Publish research ... Strong publication record or vast experience deploying models to production.* Expertise in PyTorch ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... years' experience in a data-driven role, with exposure to software engineering concepts and best ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Trading Interview

Machine Learning Engineer

Manhattan, NY · On-site

$55 - $83/hr

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... data. The interview process follows the same structure as our Software Engineering Intern ...

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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 100% Full Time. Highlights an 100% In-person job distribution.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT • On-site

Full-time

Re-posted 17 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply