Job Title: Data Annotator

Location: California, USA

About Leoforce:

Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. Ira combines advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.

At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We believe in fostering a workplace built on respect, integrity, and the freedom to innovate.

Why Join Us?

• Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.
• Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.
• Collaborative Environment: A culture that values diversity, creativity, and high performance.
• Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.

Position Overview:

We are seeking a detail-oriented Data Annotator to join our team in California. The ideal candidate will be responsible for accurately labeling and categorizing data to support the development of AI and machine learning models. This role is critical in ensuring the quality and accuracy of our AI-driven solutions.

Key Responsibilities:

• Annotate and label large volumes of data (text, images, audio, etc.) according to project guidelines.
• Review and validate data annotations for accuracy and consistency.
• Collaborate with data scientists and engineers to improve annotation processes and guidelines.
• Maintain detailed documentation of annotation procedures and findings.
• Meet project deadlines while maintaining high-quality standards.

Requirements:

• High school diploma or equivalent; Bachelor’s degree preferred.
• Strong attention to detail and ability to follow complex instructions.
• Experience with data annotation tools and platforms is a plus.
• Basic understanding of AI, machine learning, or data science concepts is desirable.
• Excellent communication and teamwork skills.
• Ability to work independently and manage time effectively.

Preferred Qualifications:

• Prior experience in data annotation or a related field.
• Familiarity with quality assurance processes.
• Technical aptitude and willingness to learn new tools.

Exclusions:

Candidates with current or previous employment at Samsung Research Institute or Amazon will not be considered for this role.

Leoforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.