Data Analyst (Annotator)

Cowlar is a venture-funded, Y-combinator start-up delivering world-class engineering solutions in Enterprise software, Internet of things (IoT), Machine Learning, Robotics, Industry 4.0, and associated fields. Our exceptional team uses engineering best practices and a first-principles approach to solving complex problems and deliver enterprise-scale projects at startup speeds.

With a culture that empowers big ideas and a focus on making our people the best version of themselves through continuous upskilling and enablement, we believe this is a place where exceptional talent comes together to make magic happen across multiple verticals. We’re looking for like-minded people who understand our mission and are willing to become part of the journey. Cowlar (Pvt) Ltd is a subsidiary of Cowlar Inc. (USA).

We’re looking for people who are not afraid of learning something new, who can read docs, watch tutorials and teach themselves quickly. You must be familiar with agile development and reporting requirements. The ideal candidate should be self-driven and motivated. We want to work with people who realize their own potential and can execute quickly.

We do not compromise on quality and your role should be to maintain the already excellent software development best practices being used at our organization.

Important Further Reading

We value our culture above all else - Please go through this Culture Document carefully

Check out our website

To learn more about the type of work we have done.

Read the Following Sections Carefully

Job Summary

Your role will be to provide support to the technical and business teams of Cowlar Design Studio to perform their tasks efficiently. One of those key roles is data annotation, where you will help with our AI development process as a vital component.

As a vital component of our workflow, you will need

A strong sense of ownership for your tasks

Attention to detail for labeling and categorizing data

Ability to follow specific guidelines with accuracy and consistency

We are seeking detail-oriented Data Annotators to review and tag images, text, audio, or video for AI and machine learning models. Your responsibilities will branch into:

Data analysis

Quality assurance

Operations

Additional specialized areas

Growth Roadmap: You will enter our structured training program where your compensation directly reflects your skillset. To see a list of skills that we expect please view the Additional Responsibilities section. You will be provided with time to learn as well as guidance to rapidly evolve your skillset. As you learn more, your salary will increase accordingly. This position offers pathways for growth and skill development beyond core annotation duties.

You will work alongside talented professionals at the top of their game, gaining immense learning opportunities and exposure to a variety of potential responsibilities. Through these experiences and mentorship, you will develop into a complete professional.

Key Responsibilities

Data Annotation

As a Data Annotator at Cowlar Design Studio , you will provide critical support to both our technical engineering teams and non-technical business teams. Your attention to detail and ability to follow instructions precisely will be essential to our success.

Accurately label and annotate data following detailed guidelines

Review and verify annotations to maintain high-quality standards

Work with annotation leads and AI/ML team to improve annotation quality

Identify patterns and inconsistencies in data and report them

Meet productivity and accuracy targets

Take initiative to quickly absorb and understand tasks, performing them accurately as instructed

Learn and adapt to our internal tooling, while contributing ideas for improvement

Assist with data analysis tasks, interpreting annotated datasets and providing insights

Quality Assurance

You will participate in running regression testing, identifying bugs to improve our software, and conducting other tests as directed by the QA team. A technical understanding of software systems is highly preferred, and you are expected to quickly learn what you will be taught to develop more context for effective testing.

Android Device Management & Debugging

Establish connections to Android devices via USB and Wi-Fi using ADB and Scrcpy. [ resource ]

Effectively utilize Scrcpy for real-time device mirroring and control during testing.

Proficiently analyze and interpret Android Studio logs to identify and resolve software defects.

Web Application Debugging & Analysis

Leverage Chrome DevTools to thoroughly inspect and debug web applications. [ resource ]

Analyze network traffic using the Network tab to understand HTTP requests, responses, and API interactions. [ resource ]

Utilize the Console tab for JavaScript debugging and error identification.

Inspect and manipulate HTML/CSS using the Elements tab.

Examine local storage, cookies, and session storage using the Application tab.

API Testing & Validation: Understand and test API endpoints, [ resource ]

HTTP methods (GET, POST, PUT, DELETE)

parameters

headers and request bodies

API responses

status codes

response headers and response bodies

Data Management & Analysis

Demonstrate a strong understanding of JSON syntax and structure. [ resource ]

Utilize basic SQL queries (SELECT, WHERE, JOIN) to retrieve and analyze data from MySQL databases for debugging and validation purposes. [ resource ]

Understand database schemas, and be able to inspect database tables and data.

Email Management & Testing

Implement and utilize email aliasing concepts to create and manage multiple test accounts. [ resource ]

Understand the concept of creating multiple email addresses that forward to a single inbox.

Scripting: Ability to use scripting languages, mainly JavaScript and Python to automate test cases, APIs, repetitive tasks and load testing.

Preferred Qualifications

Prior experience in data labeling/annotation

Familiarity with annotation tools and basic data analysis techniques

Ability to work in morning, evening & night shifts as business needs require

Excellent communication skills, both written and verbal

Quick learner with the ability to understand technical concepts

Attention to detail and commitment to quality work

Basic understanding of AI/ML processes is a plus

Additional Responsibilities

Beyond your core role, we'll help you grow in these additional areas by providing clear roadmaps and guidance. While some prior exposure is helpful, we value candidates who demonstrate enthusiasm for learning and developing these complementary skills over time.

A successful candidate must demonstrate proficiency in internet search techniques, with comprehensive knowledge of Google Search and other search tools to efficiently locate required information. Additionally, experience with prompt engineering is essential, as it enhances analytical thinking and research capabilities, allowing for more effective information gathering and problem-solving.

Following is more detail about our Roadmap for skill acquisition.

Digital Marketing & AI Tools Assist in managing social media content and engagement across all platforms. Support SEO and paid advertising campaigns. You must be able to handle our social media accounts effectively and leverage Gen-AI and AI tools for content creation and optimization. Cowlar provides premium access to all AI LLMs (ChatGPT, Claude, Gemini), and you will be expected to learn how to use these tools efficiently to enhance marketing efforts and streamline workflows.