Jesse Louis

Key Skills

Software

CVAT

Telus

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Geospatial Tiled Imagery

Image

Text

Video

Top Task Types

Bounding Box

Segmentation

Tracking

Mapping

Evaluation/Rating

Data Collection

Polygon

Classification

Freelancer Overview

I am a detail-oriented Data Annotation Specialist with over three years of hands-on experience in labeling and preparing high-quality training data for AI and machine learning models. My background includes working with diverse data types such as text, images, audio, and video, and I have contributed to projects involving LLM reasoning chains, API logic, and complex UI labeling. I am proficient in industry-standard annotation tools like CVAT, LabelMe, Roboflow, LandingLens, and Google AI Studio, as well as Python and automation workflows. My engineering education has equipped me with strong analytical and problem-solving skills, and I excel at breaking down complex information, resolving documentation ambiguities, and collaborating with cross-functional teams to optimize data pipelines for AI development. I am passionate about leveraging my technical expertise to support innovative AI solutions across domains such as computer vision and natural language processing.

Labeling Experience

API / UI Labeler

Internal Proprietary ToolingTextClassification

As an API / UI Labeler for Eva-Space.OS, I understood API logic and labeled interface and logic flows for annotation tasks. My focus was on making API documentation and UI more machine-readable through structured labels. I collaborated across technical teams to create accurate training sets for ML models. • Resolved documentation ambiguities for consistent labeling • Worked with cross-functional engineering and product teams • Created actionable training inputs for AI model optimization • Specialized in API and UI logic labeling.

As an API / UI Labeler for Eva-Space.OS, I understood API logic and labeled interface and logic flows for annotation tasks. My focus was on making API documentation and UI more machine-readable through structured labels. I collaborated across technical teams to create accurate training sets for ML models. • Resolved documentation ambiguities for consistent labeling • Worked with cross-functional engineering and product teams • Created actionable training inputs for AI model optimization • Specialized in API and UI logic labeling.

2024 - 2025

Video and image annotator and labeler

OtherImageBounding BoxPolygon

Basically involved me accurately labeling large image sets from CCTV footage in garages.

Basically involved me accurately labeling large image sets from CCTV footage in garages.

2024 - 2025

API Labeler

OtherTextBounding BoxSegmentation

• Understood the logic behind the API design and the data flow. • Identified and resolved inconsistencies or ambiguities in the API documentation. • Working with crossfunctional teams, including developers, product managers, and QA engineers.

• Understood the logic behind the API design and the data flow. • Identified and resolved inconsistencies or ambiguities in the API documentation. • Working with crossfunctional teams, including developers, product managers, and QA engineers.

2024 - 2025

Google Annotator/Rater (EWOQ)

TelusImageClassification

As a Google Annotator/Rater at Telus International, I added structured labels and tags to datasets across images, text, audio, and video. My analytical review facilitated detailed multi-modal data breakdown for AI training. I ensured adherence to guidelines and quality in all labeling assignments. • Classified and structured image data for AI models • Labeled and rated data in various modalities • Contributed to machine learning accuracy improvements • Followed strict annotation protocols for quality control.

As a Google Annotator/Rater at Telus International, I added structured labels and tags to datasets across images, text, audio, and video. My analytical review facilitated detailed multi-modal data breakdown for AI training. I ensured adherence to guidelines and quality in all labeling assignments. • Classified and structured image data for AI models • Labeled and rated data in various modalities • Contributed to machine learning accuracy improvements • Followed strict annotation protocols for quality control.

2023 - 2024

Google Annotator/Rater (EWOQ)

TelusAudioMappingEvaluation Rating

• Added labels and tags to data such as, images, text, audio and video to make AI machine learning much easier. • Analyzed, evaluated and synthetized information and arguments from different perspectives. • Broke down complex information and data into smaller and simple components and identified the patterns, relationships and trends among them.

• Added labels and tags to data such as, images, text, audio and video to make AI machine learning much easier. • Analyzed, evaluated and synthetized information and arguments from different perspectives. • Broke down complex information and data into smaller and simple components and identified the patterns, relationships and trends among them.

2023 - 2024

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Education

Work History