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Online Image Annotation Jobs (NOW HIRING)

Research Annotator

Manhattan, NY ยท On-site +1

$19.75 - $27.25/hr

NYC-based ideal) About AddressHate Hate speech online is growing faster than any organization can ... Conduct continuous, systematic annotation of social media content across platforms including TikTok ...

Research Annotator

Manhattan, NY ยท On-site +1

$19.75 - $27.25/hr

NYC-based ideal) About AddressHate Hate speech online is growing faster than any organization can ... Conduct continuous, systematic annotation of social media content across platforms including TikTok ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Annotation - Audio/Video/Image/Sentence/Word validation - Categorization, Conversational ... online platform available 24/7. This opportunity is offered for freelancers under a commercial ...

... 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 ...

Machine Learning Engineer III, Data

Buffalo, NY ยท On-site

$130K - $173K/yr

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are ... data annotation pipelines and evaluation frameworks for complex, real-world image datasets.

Machine Learning Engineer IV, Data

Buffalo, NY ยท On-site

$140K - $180K/yr

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are ... data annotation pipelines and evaluation frameworks for complex, real-world image datasets.

Online Image Annotation information

What are some common challenges faced by online image annotation specialists, and how can they be addressed?

Online image annotation specialists often encounter challenges such as maintaining accuracy while labeling large volumes of images, handling ambiguous or unclear visual data, and meeting tight project deadlines. To address these, it's important to develop strong attention to detail, follow annotation guidelines carefully, and communicate with team members or supervisors when uncertainties arise. Regular feedback and quality checks can also help ensure consistent and high-quality annotations, making collaboration and continuous learning key aspects of success in this role.

What is online image annotation?

Online image annotation is the process of labeling or tagging images using specialized software or online platforms. This task involves identifying objects, regions, or features within an image and marking them with labels, which is essential for training machine learning models, especially in computer vision. Image annotators may draw bounding boxes, polygons, or use other tools to highlight specific parts of the image. The annotated data is then used to help computers 'see' and interpret visual information, enabling applications like autonomous vehicles, facial recognition, and medical imaging analysis.

What is the difference between Online Image Annotation vs Data Labeling Specialist?

AspectOnline Image AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, computer-basedRemote or on-site, computer-based
Industry UsageAI, machine learning, computer visionAI, machine learning, data preparation
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, including images, text, or audio

Online Image Annotation involves specifically marking and labeling images for AI training, while Data Labeling Specialist may handle various data types, including images, text, and audio. Both roles require attention to detail and are essential in AI development, but Online Image Annotation is more focused on visual data annotation tasks.

What are the key skills and qualifications needed to thrive as an online image annotation specialist?

To thrive as an Online Image Annotation Specialist, you need keen attention to detail, visual accuracy, and a basic understanding of image labeling concepts, which are often supported by prior experience or relevant training. Familiarity with annotation platforms such as Labelbox, CVAT, or VGG Image Annotator, as well as proficiency in handling various image file formats, is typically required. Strong time management, consistency, and effective communication help you meet quality standards and collaborate with remote teams. These skills ensure precise data labeling, which is critical for training reliable computer vision models in AI and machine learning projects.
More about Online Image Annotation jobs
What cities are hiring for Online Image Annotation jobs? Cities with the most Online Image Annotation job openings:
What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
What states have the most Online Image Annotation jobs? States with the most job openings for Online Image Annotation jobs include:
Infographic showing various Online Image Annotation job openings in the United States as of August 2026, with employment types broken down into 40% Full Time, 20% Part Time, 20% Temporary, and 20% Contract. Highlights an 20% In-person, and 80% Remote job distribution.

Research Annotator

AddressHate

Manhattan, NY โ€ข On-site, Remote

$19.75 - $27.25/hr

Part-time

Posted 4 days ago


Job description

Research Annotator

AddressHate ยท Part-time ยท US-based (Eastern Time preferred; NYC-based ideal)

About AddressHate

Hate speech online is growing faster than any organization can track by hand. AddressHate is building the tools to change that.

We are a public interest technology company at the intersection of research, AI, and policy. We build detection infrastructure and intelligence tools that help platforms, policymakers, educators, civil society organizations, and real people understand and counter digital hate in real time.

There is no good solution in the for-profit world for this problem, so we are building it. Our mission and the business are the same thing: the better we get at detecting hate, the more valuable our tools become to the world.

The Opportunity

AddressHate is hiring Research Annotators to support our core mission: building detection infrastructure that identifies how hate circulates, adapts, and normalizes in digital environments. This is a direct hire position with AddressHate. All work product โ€” including annotated datasets, analytical memos, and contributions to coding schemes โ€” is owned by AddressHate.

We're looking for annotators with high sensitivity to the layered, implicit, and multimodal forms hate takes online โ€” particularly where meaning is carried through irony, coding, visual reference, intertextual play, and shifting register across platforms. Rather than mechanical tagging, the position requires theory-informed interpretive work that feeds directly into AddressHate's annotation pipeline and classifier development.

Our work demonstrates that a large portion of hate content in mainstream digital spaces operates through implicit, coded, or multimodal forms โ€” spread through irony, political framing, and shared references that are largely undetectable by automated systems. Understanding this requires human expertise grounded in linguistics, multimodal analysis, and discourse studies.

The role is US-based (Eastern Time preferred; NYC-based ideal) and reports into AddressHate's research and technology teams.

Core Responsibilities

  • Conduct continuous, systematic annotation of social media content across platforms including TikTok, X, Instagram, and Reddit
  • Analyze textual, visual, and multimodal content, including memes, imageโ€“text combinations, and visual rhetoric
  • Identify implicit meanings, indirect references, metaphors, narrative frames, and visual-symbolic cues
  • Identify shared rhetorical and discursive mechanisms across hate domains โ€” including dehumanization, conspiracy narratives, victimโ€“perpetrator reversal, moral inversion, and normalization strategies
  • Analyze intersecting and overlapping hate discourses, including cases where antisemitism, misogyny, and racism co-occur or mutually reinforce one another
  • Distinguish between legitimate political expression and harmful discourse, with close attention to context, pragmatics, and discursive positioning
  • Participate in regular team meetings and inter-annotator calibration sessions
  • Contribute to the iterative refinement of AddressHate's coding schemes, category definitions, and annotation guidelines
  • Work closely with AddressHate's data science team, translating qualitative insights into structured input for computational analysis
  • Produce analytical memos and structured documentation that make interpretive decisions transparent and reproducible

What We're Looking For

  • MA or PhD student (or completed degree) in Linguistics, Discourse Studies, Semiotics, Visual Studies, Media Studies, Hate Studies, History, Political Science, or related field. Candidates with a background in linguistics and multimodal/visual analysis are particularly valued.
  • Demonstrated experience with qualitative content analysis, discourse-analytical methods, and mixed methods research
  • High awareness of the different layers of hate speech and digital hate โ€” including implicit, coded, ambiguous, and context-dependent forms in both text and imagery
  • Native or near-native English proficiency with strong language sensitivity
  • Fluency with contemporary social media platforms, particularly TikTok, X, Instagram, and Reddit
  • Openness and resilience to engage with hate speech content, including antisemitism, different forms of racism, and misogyny
  • High motivation and capacity for autonomous work. The role involves sustained, continuous engagement with difficult online content. Strong candidates structure their time independently and maintain rigor and momentum across long annotation cycles.
  • Curiosity and flexibility. AddressHate's annotation work is a collaborative environment where coding schemes evolve, new platforms enter the pipeline, and analytical questions sharpen over time.

Strongly Preferred

  • Research experience across more than one hate ideology โ€” antisemitism, misogyny and gender-based hate, anti-Black racism, anti-Asian racism, or intersectional hate research. We particularly value candidates who can think comparatively across domains rather than specialists in only one.
  • Experience with multimodal analysis (memes, visual rhetoric, imageโ€“text relations)
  • Experience with MAXQDA or comparable qualitative analysis software
  • Strong written documentation skills
  • Based in or near New York City

Why Now

By the time hate's effects are visible in the world, the discourse that produced it has long since moved on. AddressHate is building the infrastructure to see it as it happens โ€” and to understand what it means. The analytical tools we develop inform education, policy, and platform governance. This role sits at the center of that work.

Terms

20โ€“30 hours per week ยท $25 USD per hour ยท Hired directly by AddressHate

To Apply

Send your CV, a short statement of interest, and one writing sample (academic or analytical) to careers@addresshate.org