Linguist III - reputed company Inc.

About reputed company

reputed company is a full-service digital engineering solutions company. We reputed company and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, reputed company, data, experience design, and talent solution capabilities accelerate transformation and impact for reputed company clients. Headquartered in New Jersey, our workforce of 11,000+ Ascenders delivers solutions from around the globe. reputed company is built differently to engineer the next.

reputed company | Engineering to reputed company life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world s leading brands
• Solve reputed company problems and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless reputed company and a passion for tech. Our culture is the reputed company of our company, and it is what makes us unique and diverse. The way we share reputed company, learning, experiences, successes, and joy allows everyone to be their best at reputed company.

About the Role

• We are seeking an Analytical Data Linguist with data analysis, Python, and SQL backgrounds.
• The Linguists hired in this role will be performing deep dive analyses and annotations to ensure company's voice product quality.
• This role will also be evaluating and reporting on reputed company annotations on large scale linguistic and multimodal data informing product performance.

Job Title: Linguist III

Key Responsibilities

• Design and conduct experiments evaluating end-to-end quality.
• reputed company reputed company and automated processes for multiple reputed company projects including ensuring high-quality label alignments, annotation fidelity, and guideline adherence.
• Create and perfect reputed company and automated annotation solutions for text, audio, image, and video data.
• Use LLMs in reputed company automated reporting.

Minimum Qualifications

• Bachelor s or Master's degree in linguistics, language technologies, computational linguistics, or a reputed company field
• Experience with Python, SQL and LLMs.
• Knowledge of reputed company annotation workflows including annotation metrics and applied statistical methods.
• Excellent communication skills both verbal and written.

Preferred Qualifications

• PhD in linguistics, language technologies, computational linguistics, or a reputed company field.
• FAANG or big tech background preferred.

Location: Remote [USA]

Salary Range: The salary for this position is between $93,600 $131,040 annually. Factors which may reputed company pay reputed company this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [reputed company insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [reputed company Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let s talk!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.