• Build scalable AI-powered tools, platforms, and workflow systems for internal operations and real estate use cases • Develop practical AI solutions beyond prompting, including structured workflows, automations, apps, dashboards, and custom tools • Collaborate with team members to improve, test, and expand existing AI initiatives • Create AI-based resources for real estate agents, such as guides, frameworks, templates, and interactive tools • Rapidly iterate on prototypes and MVPs based on feedback and evolving business needs • Evaluate new AI tools, LLMs, and platforms to optimize operations, content production, and client/member experience • Document workflows, tool logic, implementation steps, and user instructions for both technical and non-technical audiences • Productize internal AI outputs into polished resources for teams, agents, clients, and members • Troubleshoot issues across AI tools, automations, integrations, and platform workflows • Proactively experiment and recommend improvements in a fast-paced AI environment

• Design and build AI-powered tools, platforms, and workflow systems for internal operations and real estate use cases • Develop scalable AI solutions, including automations, apps, dashboards, and custom tools • Collaborate with team members to enhance, test, and expand existing AI initiatives • Create AI-based resources for real estate agents, such as guides, frameworks, templates, and interactive tools • Rapidly iterate on prototypes and MVPs based on feedback and evolving needs • Evaluate new AI tools, LLMs, and platforms to optimize operations and client/member experience • Document workflows, tool logic, implementation steps, and user instructions for technical and non-technical audiences • Productize internal AI outputs into polished resources for team, agents, clients, and members • Troubleshoot issues across AI tools, automations, integrations, and platform workflows • Provide proactive recommendations and adapt in a fast-moving AI environment

Role Description Welo Data is looking for experienced quality reviewers to join a high-profile AI training data project in collaboration with one of the world’s leading voice AI platforms. As a Verifier, you will play a critical role in shaping the way AI understands and interacts with people globally by ensuring transcription accuracy and compliance with quality standards. - Review short audio transcriptions (~5 seconds) for accuracy and adherence to guidelines. - Approve accurate transcriptions or reject those requiring correction with clear, actionable feedback. - Identify and correct errors in punctuation, formatting, and style-guide application. - Support Analysts through constructive feedback to enhance overall quality. - Flag recurring issues to the project lead for resolution. Qualifications - Native or near-native fluency in Spanish. - Exceptional written skills with expert-level command of grammar, punctuation, and style. - Prior experience in quality review, editing, transcription QA, or related fields. - Strong critical eye for subtle errors in formatting and adherence to guidelines. - A reliable computer, high-quality headphones, and stable internet connection. - Ability to provide clear, professional written feedback. - Familiarity with annotation or linguistic QA tools is advantageous but not required. - Availability to commit 10–20 hours per week for up to 6 weeks. Requirements - Commitment: 10–20 hours per week, for up to 6 weeks. - Job Type: Freelance. - Location: Remote (Colombia). - Language: Spanish. - Pay Rate: $8.14/hour. Benefits - Contribute to impactful and culturally relevant AI solutions. - Enhance your expertise in quality review and transcription. Company Description Join our team at Welo Data and embark on a journey of growth and innovation.

Role Description We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems—comprising task-specific autonomous tools governed by a master agent—to support complex technical decision-making in industrial environments. This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines. - Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries. - Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation. - Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources. - Collaborate with domain experts to align agent behavior with technical expectations and constraints. - Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs. - Continuously optimize prompting, agent orchestration, and performance under real-world conditions. Qualifications - Azure AI Engineer or Azure Data Engineer certification is a plus. - AWS experience is nice to have, but not required. - Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows. - Candidates with relevant AI system-building experience in other complex industries are encouraged to apply. - Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks. - Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning. - Advanced Python programming and experience deploying AI workflows in cloud or containerized environments. - Ability to work with APIs, data models, and external toolchains across complex systems. - Comfortable operating independently with minimal supervision in a cross-functional environment. Requirements - Exposure to industrial domains such as energy, manufacturing, or heavy engineering. - Understanding of vector databases, knowledge graphs, and retrieval-augmented generation. - Familiarity with Azure or AWS development environments. Benefits - Compensation is competitive and commensurate with experience. Company Description Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.