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Day Image Annotation Jobs (NOW HIRING)

Amazon

AI Tutor, Rufus, Amazon Rufus

Seattle, WA · On-site

This role is based in Seattle (HQ1) or New York City (Manhattan) with 5 days in-office presence ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

Character.ai

Research Engineer, Multimodal

Redwood City, CA · On-site

$225K - $400K/yr

... day. The Multimodal team is responsible for training, fine-tuning, and deploying cutting-edge image ... Design and build large-scale data pipelines and automated annotation workflows to support ...

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Day Image Annotation information

What is day image annotation?

Day image annotation is the process of labeling or tagging objects, regions, or attributes in images taken during daylight conditions. This annotated data is often used to train computer vision models, such as those used in autonomous vehicles or surveillance systems, to recognize and interpret visual information. Annotators may identify and mark features such as pedestrians, vehicles, road signs, and other elements visible in daytime imagery. The accuracy and quality of these annotations are crucial for developing reliable AI systems. Day image annotation can be performed manually or with the assistance of annotation tools.

What is the difference between Day Image Annotation vs Day Data Labeling?

AspectDay Image AnnotationDay Data Labeling
Primary FocusAnnotating images for machine learning modelsLabeling data, including images, for training AI systems
Work EnvironmentRemote or on-site, involving detailed image workSimilar, often remote, involving data categorization
Required SkillsAttention to detail, familiarity with annotation toolsAttention to detail, understanding of data structures
Industry UsageAutonomous vehicles, healthcare, retailAutonomous vehicles, healthcare, retail

Both Day Image Annotation and Day Data Labeling involve preparing data for AI models, but image annotation specifically focuses on marking objects within images, while data labeling can include various data types. They share similar skills and work environments, often overlapping in industries like autonomous vehicles and healthcare.

What are some common challenges faced by Day Image Annotation specialists, and how can they overcome them?

Day Image Annotation specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of images and dealing with ambiguous or low-quality visual data. To overcome these challenges, it is important to follow clear annotation guidelines, communicate regularly with team members or project managers for clarifications, and utilize annotation tools efficiently. Many teams also conduct peer reviews to ensure consistency and quality across datasets, which helps specialists learn and improve their skills over time.

What are the key skills and qualifications needed to thrive as a Day Image Annotation Specialist, and why are they important?

To thrive as a Day Image Annotation Specialist, you need strong attention to detail, visual acuity, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation software tools such as Labelbox, CVAT, or Supervisely is typically required. Strong organizational skills, patience, and the ability to work independently make someone stand out in this position. These skills ensure high-quality, accurate annotations that are essential for effective machine learning model training and data integrity.
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Day Image Annotation jobs near you
Infographic showing various Day Image Annotation job openings in the United States as of May 2026, with employment types broken down into 13% Locum Tenens, 13% As Needed, 58% Full Time, 4% Part Time, 8% Temporary, and 4% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Welo Data

Sunnyvale, CA • On-site

$136K/yr

Full-time

Posted 24 days ago

Job description

About the Role

We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.

This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.

What You’ll Do
  • Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
  • Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
  • Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
  • Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
  • Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
  • Assist in the creation and refinement of annotation guidelines and evaluation frameworks
  • Collaborate with cross-functional teams to improve operational processes and annotation quality
  • Provide feedback on tools, workflows, and annotation methodologies
Requirements
  • Native-level proficiency in Chinese and strong English communication skills (written and verbal)
  • Excellent attention to detail and ability to follow complex guidelines and processes
  • Strong interest in generative AI, machine learning, and emerging technologies
  • Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
  • Bachelor’s degree or equivalent practical experience
  • Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
  • Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
  • Experience evaluating prompts, responses, images, videos, or AI training datasets
  • QA/testing experience within AI, data operations, or content moderation environments
  • Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
  • Python or scripting knowledge
  • Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.