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Day Image Annotation Jobs in Missouri (NOW HIRING)

Conduct daily annotation and quality evaluation across video, image, and metadata formats. * Apply ... Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office. * Ability ...

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 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.

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 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 the most commonly searched types of Image Annotation jobs in Missouri?

The most popular types of Image Annotation jobs in Missouri are:

What are popular job titles related to Day Image Annotation jobs in Missouri?

For Day Image Annotation jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Day Image Annotation jobs?

Cities in Missouri with the most Day Image Annotation job openings:

Multilingual Data Annotation Specialist

Zefr

California, MO • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

What we do:

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.

What you’ll do:

We are hiring a Multilingual Data Annotation Specialist to support the training and performance of Zefr’s advanced AI systems. In this role, you will annotate videos, images, and metadata across platforms such as YouTube, TikTok, Meta, and Snap.

High quality human annotation is foundational to how our machine learning systems interpret, classify, and evaluate content at scale. Your work will directly shape the accuracy and integrity of our AI solutions.

We are looking for someone curious about machine learning and computer vision, energized by nuanced decision making, and committed to delivering precise, thoughtful work. The ideal candidate is self-directed, analytical, proactive, and comfortable navigating ambiguity. Candidates should value clarity, ask smart questions, and continuously seek opportunities to improve processes.

Here’s what you’ll get to do:
  • Use internal tools to label social media content according to Zefr’s contextual category guidelines.

  • Conduct daily annotation and quality evaluation across video, image, and metadata formats.

  • Apply cognitive and cultural nuance when making judgment calls on complex or sensitive content.

  • Interpret, apply, and help refine labeling frameworks and documentation.

  • Identify emerging trends or edge cases and surface potential issues to stakeholders.

  • Conduct root cause analyses to identify opportunities for improving content quality.

  • Provide insights on content patterns and contribute to enhancements of the labeling interface.

  • Generate weekly reports with findings and quality recommendations.

  • Perform quality assurance across multiple project pipelines.

  • Maintain up-to-date knowledge of Zefr policies and proactively suggest optimization opportunities.

  • Gain foundational exposure to machine learning concepts and develop an understanding of how high quality annotation data powers AI systems.

Here’s what we’re looking for: Language Requirements:
  • Fluency in English and Hindi is required.

  • Fluency in Spanish, Mandarin, Turkish, Tagalog, or others are a plus.

Qualifications and Experience:
  • Professional experience in annotation, content moderation, labeling, quality assurance, or policy enforcement.

  • Strong cultural fluency and ability to interpret contextual nuance across varied content types.

  • Familiarity with major social media platforms including TikTok, YouTube, Facebook, Instagram, and Snapchat.

  • Exceptional attention to detail with the ability to perform repetitive tasks with consistency and accuracy.

  • Strong written communication skills, particularly in explaining ambiguity, inconsistencies, or definitional drift.

  • Ability to apply style guides and enforce consistency across diverse content formats.

  • Experience using AI tools such as Claude, Gemini, ChatGPT, or similar technologies.

  • Proficiency in Google Workspace applications.

  • Familiarity with SQL is a plus.

Working Style and Mindset:
  • Reliable, self motivated, and capable of delivering high quality work independently.

  • Strong analytical thinking and structured problem solving skills.

  • Comfortable working in a fast-paced environment with shifting priorities.

  • Work with sensitive content, including political topics, religious perspectives, violence, and adult material.

  • Effective collaborator who can also operate autonomously.

  • Willing to work a hybrid schedule with 2 to 3 days per week in our Marina del Rey office.

  • Ability to appropriately handle confidential and proprietary information with sound judgment.

Benefits (for US based employees):
  • Flexible PTO

  • Medical, dental, and vision insurance with FSA options

  • Company-paid life insurance

  • Paid parental leave

  • 401(k) with company match

  • Professional development opportunities

  • 13 paid holidays off

  • Flexible hybrid work schedules

  • “Summer Fridays” (shorter work days on select Fridays during the summertime)

  • In-office lunches and lots of free food

  • Optional in-person and virtual events (we like to celebrate!)

Compensation (for US based employees):

The anticipated salary for this position is 70,500. Individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.

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