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Freelance Video Annotation Jobs in New York (NOW HIRING)

... Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize ... Support data annotation, curation, and quality control processes * Summarize findings into ...

... Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize ... Support data annotation, curation, and quality control processes * Summarize findings into ...

Freelance Video Annotation information

What is freelance video annotation?

Freelance video annotation involves labeling or tagging objects, actions, or events in video footage to create datasets used for training artificial intelligence and machine learning models. Freelancers in this field watch video clips and use specialized software to highlight frames, draw bounding boxes, or assign descriptive tags to specific elements. This work is crucial for developing technologies like self-driving cars, security systems, and video analysis tools. Freelance video annotation jobs often offer flexible hours and can be done remotely, making them popular among those seeking flexible work opportunities.

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

To thrive as a Freelance Video Annotation Specialist, you need attention to detail, strong visual analysis skills, and familiarity with data labeling concepts, often requiring basic computer proficiency and sometimes a relevant educational background. Experience with annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and understanding common file formats and data management systems are typically expected. Reliability, time management, and effective communication help freelancers stand out when delivering high-quality, consistent results remotely. These skills and qualities ensure accurate data labeling, which is crucial for training reliable AI and machine learning models.

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

Freelance video annotators often encounter challenges such as maintaining accuracy while working with large volumes of footage and meeting tight deadlines set by clients. Additionally, understanding and adhering to specific annotation guidelines for different projects can be demanding. To manage these challenges, it's important to develop strong attention to detail, establish a consistent workflow, and communicate proactively with project managers to clarify expectations. Staying organized and using annotation tools efficiently can also help maintain productivity and quality.

What is the difference between Freelance Video Annotation vs Freelance Data Labeler?

AspectFreelance Video AnnotationFreelance Data Labeler
Primary TaskAnnotating videos with bounding boxes, polygons, or tags for AI trainingLabeling various data types like images, text, or audio for machine learning
Work EnvironmentRemote, project-based, often with specialized softwareRemote, flexible, using labeling tools for different data formats
Required SkillsAttention to detail, familiarity with annotation tools, basic understanding of AIAccuracy, knowledge of data formats, and labeling standards

Freelance Video Annotation focuses specifically on annotating video content for AI models, requiring specialized tools and skills. Freelance Data Labeler covers a broader range of data types, including images and text. Both roles are remote, flexible, and essential for AI development, but Video Annotation is more specialized in visual data within videos.

What are the most commonly searched types of Video Annotation jobs in New York?

The most popular types of Video Annotation jobs in New York are:

What are popular job titles related to Freelance Video Annotation jobs in New York?

For Freelance Video Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Freelance Video Annotation jobs in New York look for?

The top searched job categories for Freelance Video Annotation jobs in New York are:

What cities in New York are hiring for Freelance Video Annotation jobs?

Cities in New York with the most Freelance Video Annotation job openings:

Freelancer - GenAI Experts

Alice

New York, NY • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Description
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle.
We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts-high-stakes, project-based work for the "best of the best" specialists in the industry.
Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required.
The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier.
The invitation is open: Come join us at the tea party.
About the Position
We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas-and we're looking for individuals who excel in one or both:
Focus Area 1: Adversarial Analysis
Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights.
Focus Area 2: Creative Prompt Design
Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts.
Key Responsibilities
Adversarial Analysis:
  • Design adversarial prompts to test AI systems across multiple modalities
  • Identify, categorize, and document model weaknesses or unsafe outputs
  • Support data annotation, curation, and quality control processes
  • Summarize findings into structured reports or data templates

Creative Prompt Design:
  • Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances
  • Research online behaviors of threat actors to inform realistic prompt design
  • Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism
  • Adapt prompts for multiple languages and dialects where applicable

Requirements
  • Proven experience with Generative AI models (direct technical experience not required)
  • Understanding of risk taxonomies (e.g., harm categories, policy tiers)
  • Strong attention to detail and organizational capabilities
  • Ability to manage multiple tasks simultaneously and meet deadlines
  • Ability to balance creativity with policy sensitivity

Language Requirements
For Creative Prompt Design focus: We are actively seeking native speakers in the following languages:
  • English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
  • Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts.

Preferred Qualifications
  • Strong creative writing background (journalism, fiction, or linguistics)
  • Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video)
  • Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies
  • Prior work in model evaluation, prompt engineering, or safety analysis
  • Regional expertise or cultural fluency in specific geopolitical areas
  • Proficiency in one or more non-English languages

All applicants will be required to complete a screening exam and background check.