Data Annotator
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Annotator with 4–5 years of experience, focusing on labeling and curating datasets for AI/ML projects. It offers a remote work location, requires familiarity with annotation tools, and emphasizes strong attention to detail and communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #SageMaker #NLP (Natural Language Processing) #Datasets #Security #Data Science #ML (Machine Learning) #Data Integrity #Data Privacy #Data Pipeline
Role description
Job Title: Data Annotation / Labeling / Data Curation Specialist (Remote – USA)
Experience: 4–5 years
Location: Remote (USA-based candidates only)
Job Overview:
We are seeking a detail-oriented and experienced Data Annotation / Data Curation Specialist to join our AI and Machine Learning initiatives. The ideal candidate will work on labeling, curating, and validating datasets to improve machine learning model performance. This role involves human-in-the-loop workflows to ensure high-quality, accurate data.
Key Responsibilities:
Annotate and label structured and unstructured data (text, images, audio, video) accurately and efficiently.
Curate and clean large datasets to maintain data integrity.
Perform quality checks and validation of annotated data.
Collaborate with data scientists, ML engineers, and project managers to understand data requirements.
Follow detailed guidelines for consistent annotation and labeling.
Participate in human-in-the-loop processes to refine model outputs.
Document workflows, challenges, and observations for continuous process improvement.
Required Skills & Qualifications:
4–5 years of experience in data annotation, data curation, or human-in-the-loop processes.
Strong attention to detail and accuracy in handling data.
Experience with annotation tools and platforms (e.g., Labelbox, Scale AI, Supervisely, Amazon SageMaker Ground Truth).
Familiarity with AI/ML concepts and data pipelines is a plus.
Ability to manage time effectively and work independently in a remote environment.
Strong communication skills for collaborating with cross-functional teams.
Preferred Qualifications:
Experience with NLP, computer vision, or audio/video annotation.
Prior experience working on large-scale datasets for ML model training.
Understanding of data privacy and security guidelines
Job Title: Data Annotation / Labeling / Data Curation Specialist (Remote – USA)
Experience: 4–5 years
Location: Remote (USA-based candidates only)
Job Overview:
We are seeking a detail-oriented and experienced Data Annotation / Data Curation Specialist to join our AI and Machine Learning initiatives. The ideal candidate will work on labeling, curating, and validating datasets to improve machine learning model performance. This role involves human-in-the-loop workflows to ensure high-quality, accurate data.
Key Responsibilities:
Annotate and label structured and unstructured data (text, images, audio, video) accurately and efficiently.
Curate and clean large datasets to maintain data integrity.
Perform quality checks and validation of annotated data.
Collaborate with data scientists, ML engineers, and project managers to understand data requirements.
Follow detailed guidelines for consistent annotation and labeling.
Participate in human-in-the-loop processes to refine model outputs.
Document workflows, challenges, and observations for continuous process improvement.
Required Skills & Qualifications:
4–5 years of experience in data annotation, data curation, or human-in-the-loop processes.
Strong attention to detail and accuracy in handling data.
Experience with annotation tools and platforms (e.g., Labelbox, Scale AI, Supervisely, Amazon SageMaker Ground Truth).
Familiarity with AI/ML concepts and data pipelines is a plus.
Ability to manage time effectively and work independently in a remote environment.
Strong communication skills for collaborating with cross-functional teams.
Preferred Qualifications:
Experience with NLP, computer vision, or audio/video annotation.
Prior experience working on large-scale datasets for ML model training.
Understanding of data privacy and security guidelines
