Frontend Developer

FetchJobs.co · United States
LinkedIn

Posted

Jul 10, 2026 (5d ago)

Seniority

Senior

Work Model

Not Specified

Type

Not Specified

Category

Frontend

Salary

Not specified

Skills

Artificial Intelligence Data Science Machine Learning

Description

About The Company DataAnnotation is a leading provider of data annotation and labeling services, dedicated to helping organizations leverage the power of artificial intelligence and machine learning. With a focus on accuracy, efficiency, and security, DataAnnotation collaborates with clients across various industries including healthcare, automotive, retail, and technology. Our team of skilled professionals utilizes advanced tools and methodologies to deliver high-quality annotated data that drives the development of innovative AI solutions. Committed to excellence and continuous improvement, DataAnnotation strives to set the standard in data annotation services, ensuring our clients achieve their technological and business goals. About The Role We are seeking a detail-oriented and highly motivated Data Annotation Specialist to join our dynamic team. In this role, you will be responsible for accurately labeling and annotating data sets to facilitate the training of machine learning models. The ideal candidate should possess strong attention to detail, excellent organizational skills, and the ability to work efficiently within deadlines. This position offers an exciting opportunity to contribute to cutting-edge AI projects and work in a collaborative environment that values innovation and continuous learning. The role involves working closely with data scientists and project managers to ensure that annotation standards are maintained and that project deliverables are met on time. Qualifications Candidates should have a minimum of a high school diploma or equivalent; a bachelor’s degree in computer science, data science, or related fields is preferred. Prior experience in data annotation, labeling, or similar roles is advantageous but not mandatory, as comprehensive training will be provided. Strong attention to detail, excellent communication skills, and the ability to follow detailed instructions are essential. Familiarity with data annotation tools and platforms, as well as basic understanding of machine learning concepts, will be considered an asset. Candidates must demonstrate reliability, a proactive attitude, and the ability to work independently as well as part of a team. Responsibilities The primary responsibilities of the Data Annotation Specialist include accurately annotating various types of data such as images, videos, text, and audio according to project specifications. You will review and verify data annotations to ensure consistency and quality, adhering to established guidelines and standards. Collaborating with project managers and data scientists, you will clarify annotation requirements and provide feedback to improve processes. Maintaining meticulous records of work progress and adhering to project deadlines is critical. Additionally, you will participate in ongoing training sessions to stay updated on new tools and annotation techniques, ensuring continuous improvement in annotation quality. Your role also involves troubleshooting annotation issues and suggesting process improvements to enhance efficiency and accuracy. Benefits DataAnnotation offers competitive compensation packages aligned with industry standards. Employees benefit from comprehensive health insurance plans, including medical, dental, and vision coverage. We support professional development through training programs, workshops, and opportunities for career advancement. Our flexible work arrangements and a supportive team environment foster a healthy work-life balance. Additionally, employees enjoy a collaborative culture that encourages innovation, creativity, and continuous learning. We also provide various employee wellness programs and recognition initiatives to promote a positive and engaging workplace. Equal Opportunity DataAnnotation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status in employment decisions or practices. We believe that a diverse workforce enhances our ability to serve our clients effectively and fosters a culture of innovation and respect. All qualified applicants will receive consideration for employment without regard to any protected characteristic.