Associate II, ML Data Operation, MRO GOAI

Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis

In short

Associate II, ML Data Operations is a non-technical role in Amazon Robotics focused on executing data annotation tasks for machine learning models. The position requires strong attention to detail, research skills, and the ability to work collaboratively in a remote, multicultural team environment. This is a contractual position with potential for full-time conversion.

Responsibilities

Execute precise data annotation tasks across diverse portfolios (text, image, video, audio) to train and validate machine learning models.
Perform techniques such as object detection, semantic segmentation, and object tracking.
Write clear, grammatically correct, and technical texts adhering to complex guidelines.
Analyze and propose solutions for operational friction and bottlenecks within Standard Operating Procedures (SOPs).
Quickly learn and utilize specialized annotation tools and platforms.
Scale and transition between programs based on business needs, and train other associates.
Validate data according to specific guidelines to ensure accuracy and quality.
Contribute to improving audit methodologies, checklists, and test frameworks.

Requirements

Bachelor's degree in any discipline with 0.6 - 5 years of experience in data transcription and annotation.
English proficiency (C1+ or > C1 fluency) with good business writing skills.
Proficiency in generating high-quality human insight data across modalities: text, image, video, and audio.
Specialization in LLM annotation work using internal generative AI tools.
Proficient research skills with experience in writing basic prompts and synthesizing information.
Excellent organizational and time management skills.
Comfortable working in a collaborative environment with remote, multi-cultural teams.
Good communication skills.
Experience in natural language data labeling, data annotation, linguistic annotation, or other data markup forms.

Desired Qualifications

Ability to make sound judgments using provided resources.
Ability to make strong judgments to address ambiguous situations or incomplete information.
Flexibility and ability to transition immediately between projects.
Willingness to share knowledge.
Ability to maintain individual productivity goals.
Ability to articulate complex ideas and provide clear explanations.
Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Work in a 24x7 environment with rotational shifts.
9-hour shift.

Benefits

Opportunity to transition into a full-time position based on performance and business requirements.
Night shift allowance will be provided if working in a night shift.
Structured one-week training program.

Skills

Data AnnotationData TranscriptionEnglishGenerative AIPrompt WritingObject DetectionSemantic SegmentationObject Tracking

#machine learning#data operations#AI#robotics#annotation#LLM

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