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Freelance Machine Learning Data Annotation Jobs in New York

Study and transform data science prototypes * Design machine learning systems * Research and ... implement appropriate ML algorithms and tools * Develop machine learning applications according to ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... data. The interview process follows the same structure as our Software Engineering Intern ...

AvePoint is the global leader in data security, governance, and resilience, going beyond ... Solution Design: Design, build, and deploy machine learning models leveraging structured and ...

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

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 ...

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

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

Machine Learning Engineer

Manhattan, NY · On-site

$209 - $250.30/hr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Conduct original research and data analysis on large proprietary and open-source data sets to ...

Showing results 41-60

Freelance Machine Learning Data Annotation information

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
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 Freelance Machine Learning Data Annotation jobs in New York? For Freelance Machine Learning Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in New York look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in New York are:
What cities in New York are hiring for Freelance Machine Learning Data Annotation jobs? Cities in New York with the most Freelance Machine Learning Data Annotation job openings:
Infographic showing various Freelance Machine Learning Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

6AM City, LLC

Manhattan, NY • On-site

$90 - $130/hr

Other

Posted 4 days ago


Job description

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.

Responsibilities
  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field
Requirements
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
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