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    ML Data Associate-I - Heredia, Costa Rica - Amazon Support Services Costa Rica SRL

    Amazon Support Services Costa Rica SRL
    Amazon Support Services Costa Rica SRL Heredia, Costa Rica

    hace 6 días

    Default job background
    De jornada completa
    Descripción
    Have you always wanted to be a part of something bigger? Something that charts a course to the future? Do you want to see the work you do make a change in the world of tomorrow? Do you thrive on solving problems, spotting patterns and working in an ever-changing environment?

    AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems.

    That is why, Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses.


    We are looking for Data Associates, who just don't think out of the box, but make the box they are in even "Bigger".

    We want to inflate the scope of thinking, dive into the abyss of knowledge and exhume the pearls of creativity.

    The future is now, do you want to be a part of it? Then read on

    Key job responsibilities


    • Work with a range of different types of data including but not limited to text, speech, image, audio and video.
    • Maintain confidentiality and follow all applicable Amazon policies for securing confidential information.
    • Deliver high-quality data, using guidelines provided to meet our KPIs, and using in-house tools and software.
    • Creative thinking and excellent written communication skills. Attention to details and ability to adapt to dynamic changes.
    • Proactivity in identifying issues with efficiency and accuracy.
    • Work on testing for workflow or feature launches if required.
    • Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea
    A day in the life

    We are looking for a Data Associate (DA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech & text data, to assess and improve performance in everyday situations.


    To make a mark, one needs to be an expert, your adaptability, focus, and attention to detail in a dynamic need to be unparalleled.

    To pride yourself on your ability to recognize issues, not succumb to pressure, but come up with an elegant and innovative solution to tackle any hurdle from the goal while working on multi-data modalities.


    You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence.

    An inner drive, individuality, and a creative mind are extremely beneficial.

    About the team

    The team works strictly in the office Monday through Friday with an eight-hour shift and two breaks half an hour each.

    We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

    We are open to hiring candidates to work out of one of the following locations:

    Heredia, H, CRI

    BASIC QUALIFICATIONS

    • Speak, write, and read fluently in English
    • Speak, write, and read fluently in Spanish
    • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: United States of America
    • Business proficiency (B2+) in English language.
    • High-School or equivalent diploma.
    • Excellent computer skills, including MS Office and web interfaces.
    PREFERRED QUALIFICATIONS

    • Bachelor's degree in a relevant field or equivalent professional experience
    • Experience working with speech or language data, including experience with annotation, and other forms of data markup
    • Typing speed at 50 WPM or above
    • Eye for detail and ability to pivot from one category of requirement to another instantaneously
    • Research skills to navigate and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism
    • To be flexible in work timing and be ready at hand to meet delivery targets

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