About Company
Mellco Ventures Inc. is a dynamic and forward-thinking technology solutions provider based in Kamloops, BC. For over a decade, we’ve been at the forefront of helping businesses leverage cutting-edge technology to optimize operations, enhance data management, and foster innovation. We specialize in custom software development, IT consulting, and data analytics, driven by a passion for creating impactful digital experiences. Our team thrives on collaboration, continuous learning, and a commitment to excellence, ensuring our clients receive robust, scalable, and intelligent solutions. Join a company that values its people and empowers them to shape the future of technology.
Job Description
Are you meticulously detail-oriented with a passion for data quality and the exciting world of Artificial Intelligence? Mellco Ventures Inc. is seeking an enthusiastic and diligent AI Data Review Aide to join our growing team in Aberdeen, Kamloops. In this crucial role, you will play a vital part in ensuring the accuracy, relevance, and ethical integrity of data used to train and refine our advanced AI and machine learning models. You will be responsible for reviewing, annotating, and validating large datasets, providing critical feedback that directly influences the performance and reliability of our AI systems. This position offers a unique opportunity to contribute to the development of innovative AI solutions, working alongside a team of experienced data scientists and engineers. If you possess a keen eye for detail, strong analytical skills, and a desire to contribute to the ethical and effective deployment of AI, we encourage you to apply. This full-time, on-site role is perfect for someone eager to start or advance their career in the rapidly evolving field of AI and data quality assurance.
Key Responsibilities
- Perform detailed review and annotation of diverse datasets (text, image, audio) to identify patterns, classify information, and ensure data integrity for AI training.
- Verify the accuracy and quality of existing data labels and annotations, correcting discrepancies and providing constructive feedback to improve guidelines.
- Contribute to the development and refinement of data annotation guidelines and best practices.
- Collaborate closely with data scientists and machine learning engineers to understand project requirements and the impact of data quality on model performance.
- Identify and report potential data biases or ethical concerns within datasets, advocating for fair and responsible AI development.
- Maintain strict confidentiality and adhere to data security protocols when handling sensitive information.
- Proactively communicate challenges and suggest improvements to data review processes and tools.
Required Skills
- Exceptional attention to detail and strong analytical capabilities.
- Proficiency in basic computer applications and data entry.
- Excellent written and verbal communication skills in English.
- Ability to work independently and as part of a collaborative team.
- Strong ethical reasoning and understanding of data privacy.
- High school diploma or equivalent.
Preferred Qualifications
- Previous experience in data entry, quality assurance, or data annotation.
- Familiarity with AI, machine learning, or natural language processing concepts.
- Proficiency with spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Post-secondary education in a related field (e.g., Computer Science, Data Science, Linguistics).
Perks & Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision insurance.
- Paid time off and statutory holidays.
- Opportunities for professional development and career growth in AI.
- A collaborative and supportive work environment.
- On-site work in a modern office in Aberdeen, Kamloops.
- Contribution to cutting-edge AI projects.
How to Apply
If you are ready to contribute your skills to a pioneering technology company and play a crucial role in shaping the future of AI, we encourage you to apply. Please click on the application link below to submit your resume and a cover letter outlining your interest and qualifications for this position.