We need:
AI Trainer
Job Title:
AI Trainer
Location:
Remote / Hybrid
Department:
Data Analytics / T
Employment Type:
Full-time / Contract
ABOUT THE ROLE:
We are seeking a highly analytical and detail-oriented AI Trainer to enhance the capabilities of artificial intelligence (AI) models.
In this role, you will train AI models by curating, labeling, and refining datasets, testing outputs, and providing human feedback to improve machine learning performance.
Your work will directly contribute to the accuracy, efficiency, and ethical alignment of AI-powered applications.
In this role, you will train AI models by curating, labeling, and refining datasets, testing outputs, and providing human feedback to improve machine learning performance.
Your work will directly contribute to the accuracy, efficiency, and ethical alignment of AI-powered applications.
Responsibilities:
01
Data Curation & Annotation: Label, refine, and structure training datasets for machine learning models, ensuring high accuracy and relevancy.
02
Model Evaluation & Testing: Assess AI-generated responses, correct errors, and provide structured feedback to improve model quality.
03
Training AI Assistants: Improve AI systems by engaging in conversations, simulating real-world interactions, and refining prompts for better user experience.
04
Linguistic & Contextual Analysis: Ensure AI-generated text is coherent, unbiased, and contextually appropriate based on the use case.
05
Collaborate with AI Engineers & Researchers: Work closely with the machine learning team to refine model behaviors, identify failure cases, and propose improvements.
06
Content & Prompt Engineering: Design and optimize prompts to enhance AI responses across different domains.
07
Ethical & Bias Monitoring: Identify and mitigate biases in AI-generated content by adhering to ethical AI guidelines.
08
Performance Tracking: Use analytics tools to track model improvements and iterate on training methods.
Requirements :
01
Bachelor's degree in Linguistics, Computer Science, Data Science, Journalism, Psychology, or a related field. (Master’s degree is a plus.)
02
Experience in AI training, data annotation, NLP, content moderation, or related fields is preferred.
03
Familiarity with machine learning concepts and natural language processing (NLP).
04
Experience with AI platforms such as OpenAI, Hugging Face, Bard, ChatGPT, Claude, or LLaMA.
05
Basic proficiency in Python, SQL, or data processing tools (preferred but not required).
06
Experience with annotation tools like Labelbox, Prodigy, or Snorkel is a plus.
07
Strong attention to detail and ability to recognize patterns.
08
Excellent problem-solving and critical-thinking
09
Ability to work in a fast-paced, iterative environment.
10
Strong communication skills for feedback and collaboration with AI developers.
What We Offer:
A competitive salary and benefits package.
Flexible working hours and a fully remote-friendly environment.
Opportunities for professional growth and development.
A chance to work with a collaborative and innovative team.
The opportunity to contribute to impactful projects that shape the future of financial solutions.
We need:
DevOps Engineer
Job Title:
DevOps Engineer
Location:
Remote / Hybrid
Department:
Engineering / Infrastructure
Employment Type:
Full-time / Contract
ABOUT THE ROLE:
We are seeking a proactive and highly skilled DevOps Engineer to join our growing technical team. In this role, you will play a critical part in scaling, automating, and securing our infrastructure to support AI-powered products and next-generation financial solutions.
You will work closely with software engineers, data scientists, and AI researchers to ensure reliable CI/CD pipelines, cloud infrastructure, monitoring, and security across development and production environments.
This is a hands-on, high-impact role where your expertise will directly influence system performance, deployment speed, and engineering velocity.
You will work closely with software engineers, data scientists, and AI researchers to ensure reliable CI/CD pipelines, cloud infrastructure, monitoring, and security across development and production environments.
This is a hands-on, high-impact role where your expertise will directly influence system performance, deployment speed, and engineering velocity.
Responsibilities:
01
CI/CD Pipeline Management: Design, implement, and maintain automated build, test, and deployment pipelines to ensure seamless software delivery.
02
Infrastructure as Code (IaC): Manage scalable cloud environments (e.g., AWS, GCP, Azure) using tools like Terraform, Pulumi, or CloudFormation.
03
Monitoring & Logging: Set up observability stacks (e.g., Prometheus, Grafana, ELK, Datadog) to track system health, usage, and performance.
04
Security & Compliance: Implement DevSecOps best practices for infrastructure hardening, secret management, and access control.
05
Environment Management: Support multiple development, staging, and production environments. Ensure consistent environments for testing and release.
06
Automation & Tooling: Automate routine tasks and infrastructure changes using Bash, Python, or similar scripting languages.
07
Collaboration: Work cross-functionally with engineering and research teams to optimize infrastructure for AI workflows and compute needs.
08
Disaster Recovery & High Availability: Implement backup and redundancy strategies to ensure system resilience and business continuity.
Requirements :
01
Proven experience as a DevOps Engineer, SRE, or similar role.
02
Strong hands-on experience with cloud platforms: AWS, GCP, or Azure.
03
Proficiency in containerization & orchestration (Docker, Kubernetes).
04
Experience with CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD).
05
Familiarity with Infrastructure as Code (Terraform, Ansible, Pulumi).
06
Good scripting knowledge (Bash, Python, or equivalent).
07
Understanding of modern monitoring/logging stacks.
08
Knowledge of security best practices for cloud infrastructure.
09
Strong troubleshooting, communication, and documentation skills.
10
Ability to work in a fast-moving, collaborative environment.
What We Offer:
Competitive salary and benefits package
Flexible hours and fully remote-friendly work culture
Ownership of mission-critical systems and infrastructure
A chance to shape the backbone of next-gen AI financial platforms
Growth opportunities within a dynamic, fast-paced team
We need:
BI Specialist
Job Title:
BI Specialist
Location:
Remote
Department:
Data & Insights / Engineering
Employment Type:
Full-time / Contract
ABOUT THE ROLE:
We are looking for a detail-oriented and data-driven BI Specialist to strengthen our data and analytics team. You’ll be instrumental in building data pipelines, dashboards, and intelligence tools that drive better decision-making for next-gen software and automation platforms. This role requires close collaboration with product managers, developers, and stakeholders to translate business goals into clear, actionable insights.
You will own the full analytics workflow from data ingestion to visualization with a strong focus on accuracy, usability, and real-world business impact.
You will own the full analytics workflow from data ingestion to visualization with a strong focus on accuracy, usability, and real-world business impact.
Responsibilities:
01
Data Modeling & Transformation: Design and optimize data models and ETL workflows that serve internal reporting and client-facing analytics.
02
Dashboarding & Visualization: Build dynamic dashboards and reports using tools like Power BI, Tableau, or Metabase.
03
KPI Development: IDefine key metrics and create frameworks to measure business and product performance.
04
Data Warehousing & Infrastructure: Work with developers and DevOps teams to ensure scalable, clean, and query-efficient data storage.
05
Insights & Forecasting: Analyze trends, create forecasts, and support decision-making with actionable recommendations.
06
Data Governance: Ensure data quality, security, and compliance across platforms.
07
Cross-functional Collaboration: Act as a bridge between technical and non-technical teams, simplifying complex data concepts.
Requirements :
01
2+ years experience as a BI Specialist, Data Analyst, or similar role
02
Advanced skills in SQL and at least one BI platform (Power BI, Tableau, Looker, etc.)
03
Experience with Python or R for data wrangling and analysis is a plus
04
Familiarity with data warehousing solutions and ETL processes
05
Strong understanding of data visualization principles and UX for analytics
06
Excellent problem-solving, communication, and storytelling skills
07
Ability to work independently in a fast-paced, digital-first team
What We Offer:
Competitive salary and bonus options
Remote-flexible work culture and results-oriented environment
Access to innovative automation and SaaS products
Impact-driven work with diverse international clients
Continuous learning and growth with modern tech stacks