Data Analyst Annotation- Bilingual

Concentrix - CA; A distancia; MXN 540,000 - 811,000; Jornada completa

Descripción de la vacante

A leading AI solutions provider is looking for a Data Annotation Specialist to support AI development. This role requires expert English proficiency and strong problem-solving skills. Responsibilities include transcribing audio data, understanding business objectives, and collaborating with cross-functional teams. Ideal candidates will have experience with data labeling platforms and knowledge of Python or SQL. This is a full-time remote position based in Mexico, offering exposure to the full AI lifecycle and growth opportunities in a collaborative environment.

Formación

• Professional business experience.
• Experience with data annotation or data quality roles is a plus.
• Ability to independently resolve challenges with high accountability.

Responsabilidades

• Attend team meetings and understand model objectives for each annotation project.
• Listen to and transcribe complex audio.
• Collaborate closely with data scientists and product managers.

Conocimientos

Expert command of the English language

Strong problem-solving skills

Proactive communication skills

Herramientas

Azure ML Data Labeling

AWS SageMaker Ground Truth

Python

SQL

NLP technologies

Descripción del empleo

Job Title:

Data Analyst Annotation- Bilingual

Job Description

Our team is seeking a collaborative Data Annotation Specialist to support the development, evaluation, and monitoring of contact center AI. Our mission is to ensure that AI solutions deliver real business value—not just flashy features.

As a Data Annotation Specialist, you will play a critical role in creating high‑quality training data and evaluating real‑world AI performance to help build accurate, reliable AI systems.

This role requires expert‑level English proficiency (spoken and written) and strong cognitive abilities to understand complex business problems, make informed decisions about data quality, and research correct responses in ambiguous situations. The work of our Data Annotation Specialists ensures that AI models solve real business problems and meet quality standards, helping avoid costly mistakes and improve customer experiences.

Job Responsibilities

• Attend team meetings and agile ceremonies to understand the business context and model objectives for each annotation project.

• Apply deep comprehension and sound judgment to machine learning inputs and outputs, including:

  • Listening to and transcribing complex or messy audio (accents, background noise).

  • Scoring conversations related to technical issues for quality.

  • Reading transcripts to identify call drivers and user intent.

• Make critical decisions regarding what constitutes high‑quality data for each use case.

• Proactively reach out to subject matter experts when additional context is required to ensure accuracy.

• Collaborate closely with data scientists, product managers, ML engineers, architects, and data engineers.

• Participate in data curation for model creation, evaluation, and ongoing monitoring.

• Help design and continuously improve annotation workflows to enhance efficiency and quality.

Job Qualifications

Required

• Professional business experience.

• Expert command of the English language, both written and spoken.

• Strong problem‑solving skills with the ability to quickly understand complex business objectives and make clear, defensible decisions about data quality.

• High accountability and comfort working with limited ambiguity, including the ability to independently resolve challenges.

• Critical thinking and sound judgment to weigh trade‑offs and select the most appropriate data to meet business goals.

• Proactive communication skills, with a willingness to engage subject matter experts when clarification is needed.

Preferred

• Experience with data labeling platforms such as Azure ML Data Labeling or AWS SageMaker Ground Truth.

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Basic knowledge of Python or SQL.

• Experience with NLP or conversational AI technologies.

• Prior experience in data annotation or data quality roles.

Growth Opportunities

• Gain exposure to the full AI lifecycle, from data preparation to model monitoring.

• Contribute to process improvements and workflow design.

• Collaborate with cross‑functional experts across engineering, product, and data science teams.

Location:

MEX Work-at-Home

Language Requirements:

Time Type:

Full time

2026-12-23

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