Jobs at DataAnnotation

Positions 0

What this company pays

Median
$40
Range
$20 – $45,150
Roles disclosing pay
368 of 368 (100%)

Median pay by role

Role Openings Median
Machine Learning Engineer - AI Trainer 18 $40
Staff Software Engineer - AI Trainer 17 $40
Chemical Engineer - AI Trainer 14 $40
AI/ML Developer - AI Trainer 13 $40
Back End Developer- AI Trainer 12 $40

DataAnnotation is a prominent platform connecting skilled individuals with crucial projects that enhance artificial intelligence and machine learning models. The company specializes in human-powered data annotation, labeling, and validation, which is fundamental for training robust AI systems across diverse industries. DataAnnotation is widely recognized for providing flexible, project-based work opportunities, allowing contributors to apply their cognitive skills to meaningful AI development tasks.

DataAnnotation primarily hires for roles such as AI trainers, data annotators, content evaluators, and language specialists. Candidates can anticipate engaging in tasks like labeling images, transcribing audio, evaluating text responses, or providing feedback on AI model outputs. These positions often demand strong attention to detail, analytical skills, and the ability to meticulously follow complex guidelines, frequently offering remote and flexible work arrangements to accommodate various schedules.

Exploring DataAnnotation's 368 open positions on Job Transparency offers a significant advantage for your job search. Every listing includes transparent salary information, enabling you to assess compensation upfront without speculation. Furthermore, our platform provides valuable sentiment data and company insights, helping you understand the work culture and project expectations before applying, ensuring a well-informed and strategic career decision.

No open positions at DataAnnotation right now.

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Frequently Asked Questions

What is the typical work environment like for DataAnnotation contributors?
Working with DataAnnotation often involves flexible, remote, project-based tasks. Contributors typically manage their own schedules, completing assignments like data labeling, content evaluation, or AI model training from their preferred location. The focus is on precision and adherence to project guidelines, with communication often facilitated through online platforms and detailed instructions for each task.
What kinds of roles does DataAnnotation frequently offer?
DataAnnotation frequently offers roles such as AI trainers, data annotators, content evaluators, and language specialists. These positions typically involve tasks like transcribing audio, labeling images, evaluating text responses, or providing feedback on large language models. The work requires strong attention to detail and analytical skills, often suitable for individuals seeking flexible, project-based engagements in the AI development space.
How can an applicant improve their chances of getting hired by DataAnnotation?
To stand out as a DataAnnotation applicant, focus on demonstrating strong attention to detail, analytical skills, and the ability to follow complex instructions precisely. Highlight any experience with data entry, content evaluation, or language proficiency. Successfully completing initial qualification tests and consistently delivering high-quality work on early projects are crucial for securing more opportunities and advancing within their system.

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