Language Data Annotator (Fixed Term 6 months) - English and Arabic

Join Genesys: Be a Part of the Future of Customer Experience

Company: Genesys

Job Title: Language Data Annotator (Fixed Term 6 months) - English and Arabic

Location: India

Job Type: Full-Time, Fixed Term (6 months) - Start ASAP

About Genesys

Genesys empowers over 8,000 organizations in more than 100 countries to boost loyalty and achieve outstanding business outcomes by crafting exceptional experiences for customers and employees. As the leading AI-powered experience orchestration platform, Genesys Cloud helps organizations of all sizes provide empathetic, personalized experiences at scale.

With a global team of over 6,000 employees, Genesys fosters a culture of empathy and collaboration. Offering the benefits and perks you'd expect from a major tech company, we also provide the autonomy to make a significant impact and take ownership of your work.

Join us to shape the future of customer experience.

Position Overview: Language Data Annotator

We are seeking a highly detail-oriented Language Data Annotator to join our team in India. In this role, you will annotate and analyze language data to support the development of our state-of-the-art AI and natural language processing products. Your attention to detail, analytical skills, and ability to work independently will be key to providing valuable insights and high-quality data to our research team.

This role is part of the Radarr ML engineering team focused on language detection and sentiment analysis for public social channels across various languages.

Key Responsibilities

• Accurately annotate text data following detailed guidelines to identify linguistic features and categories.
• Collaborate with the research team to resolve data ambiguities and provide feedback on the annotation process.
• Perform qualitative error analysis and provide actionable insights to improve quality.
• Support the creation of language datasets for model training and evaluation.
• Assist the team with other ad-hoc data-related tasks as needed.

Skills & Experience

• Native or near-native proficiency in English and Arabic.
• Fluency in other languages is a plus.
• Exceptional attention to detail, with the ability to work accurately and efficiently.
• Comfortable and confident in a computerized environment, ideally proficient with productivity software and text editors.
• 1+ years of experience with language data annotation, manipulation, and analysis, and familiarity with annotation tools (preferred).
• Previous customer service or contact center work experience is desirable.

#LI-Hybrid #LI-IS2

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About Genesys

Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in over 100 countries. Utilizing the power of cloud, digital, and AI technologies, organizations can deliver proactive, predictive, and highly personalized experiences, improving customer connection and employee productivity across all channels.

Transform your back-office technology into a modern revenue velocity engine with Genesys, fostering customer trust and loyalty with true intimacy at scale. Visit us at .

Reasonable Accommodations

If you require a reasonable accommodation to complete any part of the application process or need an alternative method for applying, please contact us at . You can expect a response within 24-48 hours. Please provide your first and last name, country of residence, the job ID(s) or title(s) you wish to apply for, and the specific accommodation(s) or modification(s) you are requesting. Note that messages sent for non-accommodation-related issues may not receive a response.

Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Note: Recruiters will never ask for sensitive personal or financial information during the application phase.