Jobs at Odixcity Consulting

Job Summary

• We are looking for a detail-oriented NLP Data Annotator to support the development of cutting-edge Natural Language Processing (NLP) systems.
• In this role, you will label, classify, and evaluate text and/or speech data to improve the performance of AI models, including chatbots, search engines, and language understanding systems.

Key Responsibilities

• Read and analyze text data according to detailed annotation guidelines.
• Perform tasks such as sentiment labeling, intent classification, entity tagging, and text categorization.
• Follow detailed annotation instructions with high accuracy and consistency.
• Conduct quality checks and resolve annotation discrepancies
• Meet productivity and quality targets.
• Provide feedback to improve annotation processes.

Requirements

• Bachelor’s degree (Linguistics, English, Communications, Computer Science, or related field preferred)
• Strong command of written and spoken English (additional languages are a plus)
• Experience with large language model (LLM) training datasets
• Familiarity with data formats such as JSON, XML, CSV
• Knowledge of evaluation metrics (precision, recall, F1-score)
• Experience working with APIs and data pipelines
• Strong reading comprehension and analytical skills.

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Job Summary

• We are seeking for an AI prompt Engineer who will design, test, and refine text or image inputs for generative AI models to produce accurate, safe, and context-aware outputs.
• A person who will bridge human intent with machine intelligence by optimizing prompt structures to improve AI relevance, reduce bias, and ensure high-quality, efficient AI performance.

Key Responsibilities

• Create and refine prompts for Large Language Models (LLMs) to maximize, accuracy, and creativity.
• Analyze AI outputs to identify limitations, reduce "hallucinations," and improve consistency.
• Develop and manage a repository of effective prompt templates for team-wide use.
• Work with developers, product managers, and data scientists to align AI behaviors with business needs.
• Help refine models to adopt specific brand voices or specialized, domain-specific knowledge.
• Develop prompt libraries, documentation, and best practices
• Collaborate with product, marketing, engineering, and data teams.

Requirements

• Degrees in Computer Science, Linguistics, Cognitive Psychology, or Data Science are highly valued, though not always mandatory.
• 5 years proven experience working with generative AI tools (e.g., ChatGPT, Gemini, Claude, Midjourney)
• Certificates in AI, NLP, or specific prompt engineering courses can strengthen a resume
• A deep understanding of how LLMs, such as GPT-4, Claude, and Gemini, work is essential. This includes tokenization, context windows, and parameters like "temperature".
• Proficiency in Python is often required for scripting, automation, and interacting with AI APIs. Familiarity with libraries like TensorFlow or PyTorch is beneficial.
• The ability to analyze AI outputs for accuracy, bias, and relevance to refine prompts is necessary.
• Excellent technical documentation and communication skills.

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Job Summary

• We are looking for a sharp detailed senior to architect the systems that measure and improve our generative AI models. ]
• You will work at the intersection of data science, product, and research to ensure our AI systems are not only accurate but also safe, unbiased, and aligned with human preferences.

Key Responsibilities

• Design and implement robust automated evaluation frame works (using python) test LLMs for tasks like reasoning, coding, and summarization.
• Lead the development of annotation rubrics and manage workflows, for human evaluators to generate high context preference data and golden datasets.
• Design and execute adversarial testing (re teaming) to identify vulnerable, hallucinations, and biases in mode outputs before deployment.
• Develop and calibrate reliable LLM-based evaluators to replace human raters at scale for specific metrics, validating their correlation with human judgment.
• Analyze evaluation results to pinpoint specific model weaknesses (e.g. model fails at multi- step reasoning in finance contexts) and present actionable insights to modeling and product teams.
• Build and maintain internal evaluation in platform and dashboards to track model performance across different versions and use cases.

Requirements

• A Degree in Computer science, information Technology, Data Science or a relating field.
• 5+ years of experience in machine learning, Data science, or AI Evaluation
• Proven track record of designing evaluation strategies for NLP or Generative AI products.
• Expert-level proficiency in Python for scripting evaluations and analyzing results (pandas, NumPy).
• Strong ability to query data (SQL) and perform statical analysis to validate evaluation confidence intervals and inter-annotator agreement.
• Advanced ability to craft prompts for crafts prompts for both model testing and steering LLM-based evaluators.

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Job Summary

• We are hiring for the role of ML Research Analysts that will drive innovation in artificial intelligence by developing, testing, and implementing advanced algorithms and models.
• This role blends deep theoretical knowledge with practical, hands-on experimentation to push the boundaries of AI capabilities.
• These specialists typically focus on creating novel machine learning, deep learning, or reinforcement learning models to solve complex problems.

Key Responsibilities

• Design, implement, and validate novel ML algorithms and models.
• Conduct literature reviews to stay updated on advancements, designing experiments to evaluate models, and prototyping solutions.
• Work with engineering teams to deploy models into production systems and integrating AI solutions into products.
• Compare and benchmark model performance using statistical metrics.
• Prepare research reports, documentation, and presentations.
• Design and execute experiments to test model performance.
• Stay up to date with academic publications and industry trends.

Requirements

• Bachelor's Degree or higher in Computer Science, Data Science, Artificial Intelligence, IT, or related fields (e.g., Mathematics, Engineering).
• 5 years proven experience in AI/ML development, data science, or specialized roles like annotator or evaluator.
• Proficiency in Python, R, or Java and alsofamiliar with TensorFlow, PyTorch, or scikit-learn.
• Excellent technical documentation and communication skills.
• Experience with specific AI evaluation tools search evaluation or annotation platforms.
• High attention to detail, critical thinking, and strong communication skills for reporting model flaws.

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Job Summary

• We are in need of a highly skilled Language Specialist – Annotation to support the development of advanced AI and Natural Language Processing (NLP) systems, who you will apply their linguistic expertise to annotate, review, and validate language data, ensuring accuracy, consistency, and cultural relevance.

Key Responsibilities

• Annotate and review text, speech, or conversational datasets
• label and text data for parts of speech, sentiment, intent, and syntax project guidelines.
• Ensure cultural and contextual appropriateness of annotated data
• Develop and refine annotation guidelines
• Conduct quality assurance and inter-annotator agreement checks
• Provide feedback to improve workflows and annotation standards
• Support multilingual or domain-specific annotation projects (if applicable)

Requirements

• Bachelor’s or Master’s Degree in Linguistics, Applied Linguistics, Languages, or related field
• Native or near-native proficiency in the target language(s)
• Strong understanding of grammar, syntax, and language structure.
• Experience in linguistic annotation or data labeling projects.
• Familiarity with NLP concepts and AI workflows.
• Experience with annotation tools (e.g., Label Studio, Prodigy, ELAN).
• Knowledge of corpus linguistics or discourse analysis.
• Multilingual capabilities.

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Job Summary

•  We are looking for an experienced Linguistic Annotator to lead high -stakes language data annotation.
• In this role, you will apply advanced linguistic expertise to create, curate, and validate training data that teaches AI models to understand and generate human language with nuance, accuracy, and cultural sensitivity.

Key Responsibilities

• Perform complex linguistic annotation tasks across multiple layers, including syntax.
• Annotate and label text, audio, or multimodal data according to detailed guidelines.
• Conduct error analysis on model outputs to identify systematic linguistic failures and recommend annotation improvements.
• Handle sensitive or specialized content requiring domain expertise (legal, medical, technical, etc.) with appropriate confidentiality and care.
• Develop, refine, and maintain and comprehensive annotation guidelines that clearly document decision rules, edge cases, and quality standards.
• Collaborate with computational Linguists and ML Engineers.
• Maintain high productivity and quality standards.
• Ensure data confidentiality and compliance with privacy policies.

Requirements

• Bachelor's Degree in Linguistics, English, or a related field with a minimum of 5 years’ experience in Linguistic Annotation or data language data operations or computational linguistics roles.
• Experience developing annotation guidelines and schemas from scratch.
• Proven track record of working on large-scale annotation projects for NLP applications.
• Familiar with quality assurance processes, including inter-annotator agreement calculation and analysis.
• Excellent written and verbal communication skills.

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Job Summary

• We’re looking for a detail-oriented and reliable Audio Transcriptionist to join our team. In this role, you’ll be responsible for converting audio recordings into accurate written transcripts.
• You will work with variety of content types from podcasts, interviews, meetings, lectures, courts etc. and ensure every transcript meets our quality standards.

Key Responsibilities

• Listen to audio recordings and produce accurate, verbatim or clean read transcripts based on client specifications.
• Ensure proper punctuation, grammar, and formatting throughout all transcripts.
• Identify and label different speakers, background sounds, or inaudible sections as required.
• Meet daily/ weekly transcription quotas while maintaining high accuracy standards and manage multiple projects simultaneously without compromising quality.
• Proofread and edit completed transcripts for errors or inconsistencies.
• Follow style guides and client- specific formatting requirements and flag unclear audio segments or technical issues to supervisors.
• Participate in quality reviews and incorporate feedback for continuous improvement.

Requirements

• Bachelor's Degree in a relating field with 5 years proven experience.
• Excellent command of English (or the target language), including proficiency in punctuation, spelling, and grammar.
• Ability to understand various accents, dialects, and technical terminology.
• Proficiency with computers, fast internet, and familiarity with audio editing software or foot pedals.
• Strong attention to detail, time management, and the ability to meet deadlines.
• A speed of at least 60 words per minute (WPM) with high accuracy is often necessary, as slow typing hinders productivity.

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Job Summary

• We are seeking a highly motivated Computational Linguist with strong expertise in linguistic annotation and natural language processing (NLP).
• In this role, you will design, implement, and evaluate annotation frameworks that support the development of advanced AI language systems.
• You will work closely with machine learning engineers, data scientists, and annotation teams to ensure high-quality linguistic datasets.

Key Responsibilities

• Design linguistic annotation schemas for complex NLP tasks including semantic role labeling, discourse parsing, coreference resolution and multimodal language.
• Develop comprehensive annotation guidelines that balance linguistic precision with annotator usability and scalability.
• Collaborate with new product teams to translate business requirements into linguistic annotation frameworks.
• Ensure schemas capture relevant linguistic phenomena while remaining computationally tractable.
• Build and maintain annotation interfaces, quality assurance dashboards and data management tools.
• Develop scripts and utilities for data preprocessing, validation and analysis.

Requirements

• Bachelor's Degree in Linguistics, English or a relating field.
• Minimum of 5 years’ experience in computational linguistics, language annotation, or NLP data operations.
• Strong academic foundation in syntax, semantics, pragmatics and discourse analysis.
• Experience in building and customizing annotation tools and work flows.
• Track record in managing annotation projects from pilot to production scale.
• Excellent written and verbal communication skills.