Jobs at Odixcity Consulting

Job Summary

• We are seeking a smart, friendly, and customer-focused Sales Girl to join our team.
• The ideal candidate should have good communication skills and a positive attitude toward customers.

Responsibilities

• Greet customers when they enter the premises, and assist them with purchases.
• Promote and sell products, while answering customers questions.
• Process payments via POS and cash, ensuring accuracy.
• Keeping proper sales records.
• Arranging goods and shelves, keeping the shop neat and tidy always.
• Providing excellent customer service.
• Report daily sales summaries to management.

Requirements

• Minimum of SSCE Certificate.
• Must be living within Mile 3 or in close proximity to the area to ensure punctuality.
• Strong communication and interpersonal skills.
• Basic math skills for handling payments.
• Ability to multitask in a busy environment.

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Job Summary

• We are seeking for a Dataset Curator who is responsible for designing, maintaining, and optimizing high-quality datasets for AI, Machine Learning (ML), and Large Language Model (LLM) projects.
• The Dataset Curator works closely with data scientists, AI trainers, and engineers to gather, clean, validate, and annotate datasets across multiple domains, ensuring the data supports robust AI model training and evaluation.
• The dataset curator must understand dataset diversity, bias detection, quality assessment, and metadata management.
• This role is critical to improving AI performance, dataset reliability, and data-driven decision-making.

Key Responsibilities

• Curate, collect, and structure datasets for AI and ML training purposes.
• Validate dataset accuracy, completeness, and consistency.
• Annotate and label datasets according to project-specific guidelines.
• Identify and correct data inconsistencies, duplicates, and anomalies.
• Maintain metadata and documentation for datasets.
• Collaborate with AI trainers and data engineers to define dataset requirements.
• Ensure datasets are ethically sourced and free from biases.
• Continuously monitor dataset quality and propose improvements.

Job Requirements

• Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, Information Systems or related fields
• 5 - 8 years proven experience in dataset curation, data analysis, or data management roles.
• Proficiency in Excel, Google Sheets, SQL, and/or Python for dataset handling.
• Knowledge of data cleaning, normalization, and transformation techniques.
• Familiarity with data annotation tools and platforms.
• Understanding of structured, semi-structured, and unstructured datasets.
• Experience with database management and version control systems.
• Awareness of AI dataset ethics and bias mitigation.
• Required Certifications such as Google Data Analytics Certificate (advantage), Data Management or Curation Certification, AI/Data Annotation Training (optional but preferred)
• Experience handling large-scale datasets for AI, ML, or analytics projects.

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Job Summary

• We are seeking a qualified and experienced Technical Drawing Teacher to teach Senior Secondary School students (SS1 & SS2). The ideal candidate must have a strong background in Engineering or Architecture and the ability to simplify technical concepts for students.

Responsibilities

• Teach fundamental and advanced technical drawing conceptsto SS1 and SS2 students.
• Prepare lesson notes and instructional materials.
• Guide students in practical and theoretical aspects of technical drawing.
• Assess students’ classwork, assignments, and tests, and practical drawings.
• Maintain discipline and a positive learning environment.
• Prepare students for WASSCE/NECO exams.
• Maintain a record of students’ progress.

Requirements

• Minimum qualification: B.Sc or HND in Engineering or Architecture.
• NYSC Discharge or Exemption Certificate is required.
• Previous teaching experience in Technical Drawing /is needed.
• Must have a strong grasp of geometric construction, orthographic projection, and building/mechanical drawing.
• Strong knowledge of technical drawing principles.
• Previous teaching experience is an added advantage.
• Good classroom management skills.
• Excellent communication and presentation skills.

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Job Summary

• We are seeking for a Data Operations Analyst to ensure smooth handling, quality, and management of operational data for AI, ML, and business intelligence projects.
• This role monitors, validates, and optimizes workflows involving data ingestion, storage, transformation, and annotation.
• You will analyze operational datasets, ensure compliance with standards, and support teams in maintaining high data reliability. The ideal candidate is analytical, detail-oriented, and experienced in managing data pipelines and operations.

Key Responsibilities

• Monitor and manage data pipelines and workflows.
• Validate data quality and integrity at each stage of processing.
• Support AI and data teams with dataset preparation and analysis.
• Identify and resolve data inconsistencies and errors.
• Generate reports on data operations metrics and quality KPIs.
• Collaborate with stakeholders to optimize data handling processes.
• Maintain documentation of operational workflows and procedures.

Job Requirements

• Bachelor’s Degree in Data Science, Computer Science, Information Systems, Statistics or Mathematics.
• Familiarity with SQL, Excel, and database systems.
• Knowledge of ETL processes and data pipelines.
• Understanding of data validation, transformation, and cleaning techniques.
• Experience with cloud storage and workflow tools (AWS, GCP, Azure).
• Ability to manage and prioritize multiple operational tasks.
• Required Certifications such as Google Data Analytics Certification, Microsoft Data Fundamentals, Data Operations or ETL Training (advantage)
• 5 - 8 years of proven experience in data operations, analytics, or pipeline management.

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Job Summary

• We are looking for a QA Analyst ensures the quality, consistency, and reliability of datasets, AI outputs, digital content, and operational workflows.
• This role evaluates annotated datasets, AI model responses, software outputs, and content deliverables to ensure they meet defined standards and project requirements.
• The QA Analyst will help to maintain high data integrity, reducing errors and improving AI system reliability.

Key Responsibilities

• Review datasets, AI outputs, and operational results for accuracy.
• Identify and report inconsistencies, errors, and quality gaps.
• Collaborate with data operations and AI teams to implement quality improvements.
• Maintain QA documentation and quality control processes.
• Develop and apply testing protocols for dataset annotation and AI output evaluation.
• Ensure compliance with project guidelines, standards, and ethical requirements.

Job Requirements

• Bachelor’s Degree in Computer Science, Data Science, Information Systems, Statistics, Quality Assurance or related fields
• 5-8 years of proven experience in QA, data validation, or analytics.
• Familiarity with QA testing methodologies and tools.
• Understanding of dataset validation, auditing, and error detection.
• Experience with spreadsheets, databases, and reporting tools.
• Basic knowledge of AI or ML workflows (advantage).
• Required Certifications such as Quality Assurance or QA Testing Certification, Data Quality/Analytics Certification (advantage)

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Job Summary

• We are seeking for a Data Quality Analyst to ensure reliability, accuracy, and consistency of datasets used for Artificial Intelligence training and business intelligence systems.
• The role focuses on auditing datasets, identifying anomalies, resolving inconsistencies, and maintaining high-quality data standards.
• You will assess dataset completeness, labeling accuracy, formatting consistency, and compliance with project guidelines.
• This role is essential in preventing model bias, improving prediction reliability, and maintaining trustworthy AI systems.

Key Responsibilities

• Audit datasets for quality and consistency.
• Identify data errors and anomalies.
• Validate annotations and labeling accuracy.
• Develop data quality checks and validation rules.
• Monitor dataset integrity across projects.

Requirements

• Bachelor's Degree in Data Science, Statistics, Computer Science, Information Systems, or related field.
• 5-7 years of experience in data quality, analytics, or data operations.
• Must possess a Data validation and auditing skills.
• Knowledge of data governance concepts.
• Data Quality Management Certification (advantage)
• Must be certified as a Google Data Analytics Certification or Microsoft Data Fundamentals, Data Governance or Data Management Certification (optional).