Data Analyst

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 to understand our culture, values and what we represent.

Check out our website: cowlardesignstudio.com to learn more about the type of work we have done.

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.

Responsibilities:

• Android Device Management & Debugging:
  • Establish connections to Android devices via USB and Wi-Fi using ADB and Scrcpy.
  • 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.
  • Analyze network traffic using the Network tab to understand HTTP requests, responses, and API interactions.
  • 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, including 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.
  • Utilize basic SQL queries (SELECT, WHERE, JOIN) to retrieve and analyze data from MySQL databases for debugging and validation purposes.
  • 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.
  • 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.
  • 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.
  • Basic Graphic Design: Create basic visuals for marketing, social media, or product documentation. Edit and enhance images for annotation projects.
  • Video Editing: Edit short clips, promotional videos, or training content. Work with AI teams to process video data.
  • Lead Generation: Identify potential customers through various methods such as research, social media, and networking.
  • Technical Understanding: In a company like Cowlar, you would need to grasp technical concepts related to our specific technology and industry to effectively communicate with potential clients and support internal teams.
  Effective Communication Across All Levels: Communication is the lifeblood of successful development. At Cowlar, you'll be expected to masterfully adapt your communication style to engage a wide spectrum of audiences, from frontline employees to executives.
  
  How To Apply:
  Visit work.cowlar.com and apply to the available position (Data Annotation)
  
  OR
  
  Email careers@cowlar.com with Subject: [Your Name] - [Position]
  
  OR
  
  DM your CV along with Profile details at our Linkedin Page (https://www.linkedin.com/company/cowlar-design/)
  
  Note: We strongly recommend preparing a portfolio to accompany your resume. This portfolio should be a comprehensive showcase of your skills, experiences, and relevant work. Please include:
  • Examples of your best work in data annotation, quality assurance, or data analysis (if applicable)
  • Samples of digital marketing, graphic design, or video editing work (if applying with these skills)
  • Demonstrations of your technical understanding and ability to learn new tools
  • Any experience with AI tools and how you've utilized them effectively
  The format & length of the portfolio is completely up to you. Remember, both the content and the presentation quality of your portfolio matter. This is your opportunity to demonstrate your attention to detail, accuracy, and ability to follow guidelines key skills for this role.
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