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Day Shift Ai Data Annotation Jobs (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

... data annotation • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with ...

Bot Auto

Data Annotation Specialist

Houston, TX

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Onsite Requirement: This position requires being onsite at our Houston, TX 5 days per week.

GE HealthCare

Data Manager - AI Development

$80K - $120K/yr

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Onsite Requirement: This position requires being onsite at our Houston, TX 5 days per week.

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

The Data Annotation Specialist will be responsible for creating, refining, and validating ground ... shift. • Professionalism: High degree of self-discipline and the ability to work independently ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw information into high-quality, actionable datasets. Founded in , the company is headquartered in San ...

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All JobsDay Shift Ai Data Annotation Jobs

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.
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Day Shift Ai Data Annotation jobs near you
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.

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