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Day Shift Ai Data Annotation Jobs (NOW HIRING)

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

... to-day execution across contributors, annotators, reviewers, QA leads, and internal tools. • ... Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations ...

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... AI labs/data vendors • Technical skills to build tools for data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Senior Imagery Analyst (Data Annotation)

Falls Church, VA · On-site

$91K - $115K/yr

... AI/ML development. Responsibilities : * Provide quality assurance reviews of annotated geospatial ... The application window is three days from the date the job is posted and will remain posted until a ...

Oversee data annotation projects, translating complex AI and machine learning requirements into ... Strong in-person culture: 3-5 days/week in our newly launched North Beach loft office * Flexible ...

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Day Shift Ai Data Annotation information

How much do AI data annotators make?

AI data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, with some companies offering bonuses for accuracy and efficiency.

What are Day Shift AI Data Annotation jobs?

Day Shift AI Data Annotation jobs involve labeling and categorizing data, such as images, text, or audio, during daytime working hours to help train artificial intelligence systems. Annotators review raw data and apply tags or labels according to specific guidelines, ensuring AI models learn to recognize patterns accurately. These roles are essential for improving the quality and reliability of machine learning algorithms. Typically, the work is detail-oriented and may be performed in an office or remotely. Day shift positions appeal to those who prefer standard business hours.

Can you use AI to work for data annotation?

Day Shift AI Data Annotation jobs involve labeling data to train machine learning models, often using AI tools to assist in the process. While AI can automate parts of data annotation, human oversight is typically required to ensure accuracy and quality, especially for complex or nuanced data. Familiarity with annotation platforms and attention to detail are important for success in this role.

Which 3 jobs will survive AI?

Day Shift AI Data Annotation jobs are likely to persist because they require human judgment, context understanding, and quality control that AI cannot fully replicate. Roles involving complex decision-making, creative tasks, and interpersonal skills, such as healthcare professionals, educators, and skilled trades, are also expected to remain in demand despite AI advancements.

What are some common challenges faced by Day Shift AI Data Annotation specialists, and how can they be addressed?

Day Shift AI Data Annotation specialists often encounter challenges like maintaining focus and accuracy during repetitive tasks, meeting tight deadlines, and staying consistent with evolving annotation guidelines. To address these, it's helpful to take regular short breaks to reduce fatigue, actively participate in team discussions to clarify guidelines, and use quality assurance tools or peer reviews to ensure data accuracy. Many teams also offer support through continuous training and feedback, which can help annotators improve their skills and efficiency over time.

Is data annotation AI a legit company?

Data annotation AI roles are typically offered by legitimate companies involved in machine learning and AI development. When applying, verify the company's reputation through reviews and ensure the job posting is from a reputable source to avoid scams. These positions often require attention to detail and familiarity with annotation tools or platforms.

What is the difference between Day Shift Ai Data Annotation vs Data Labeler?

AspectDay Shift Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; computer-based tasksOffice or remote; computer-based tasks
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Both roles involve data annotation and labeling for AI systems, often in similar environments. The main difference lies in terminology; 'Day Shift Ai Data Annotation' emphasizes working during daytime hours, while 'Data Labeler' is a broader term used across various shifts and companies. Both positions require attention to detail and basic technical skills, making them closely related in the AI industry.

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

To thrive as a Day Shift AI Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and proficiency in following instructions, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes simple scripting or spreadsheet software is typically required. Effective communication, time management, and the ability to stay focused during repetitive tasks are valuable soft skills in this role. These capabilities ensure high-quality, accurate data labeling, which is critical for training reliable AI models.
More about Day Shift Ai Data Annotation jobs
What cities are hiring for Day Shift Ai Data Annotation jobs? Cities with the most Day Shift Ai Data Annotation job openings:
What states have the most Day Shift Ai Data Annotation jobs? States with the most job openings for Day Shift Ai Data Annotation jobs include:
German Search & Data Labelling Rater - Project Andromeda Titawin

German Search & Data Labelling Rater - Project Andromeda Titawin

Welocalize

Remote

$8.80/hr

Other

This job post has expired today. Applications are no longer accepted.


Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

361st of 451 rated business services


Job description

Search & Data Labeling Rater

We are looking for detail-oriented Search & Data Labeling Raters to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types and relevant attributes within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation
  • Job Type: Freelance contract
  • Pay Rate: $8.80 USD/hour
  • Location: Remote
  • Language: German Fluency

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!


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