... solutions. Soft Skills We Value: Are you a proactive professional who enjoys challenges, values ... Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
... solutions. Soft Skills We Value: Are you a proactive professional who enjoys challenges, values ... Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
Remote Prodigy Solutions information
See salary details
$49.5K - $58.7K
10% of jobs
$58.7K - $68K
9% of jobs
$73.2K is the 25th percentile. Wages below this are outliers.
$68K - $77.2K
12% of jobs
$77.2K - $86.4K
18% of jobs
The median wage is $87.2K / yr.
$86.4K - $95.6K
19% of jobs
$104.5K is the 75th percentile. Wages above this are outliers.
$95.6K - $104.9K
8% of jobs
$104.9K - $114.1K
4% of jobs
$114.1K - $123.3K
10% of jobs
$123.3K - $132.5K
4% of jobs
$132.5K - $141.8K
3% of jobs
$141.8K - $151K
3% of jobs
$49.5K
$94.2K
$151K
How much do remote prodigy solutions jobs pay per year?
As of Jul 7, 2026, the average yearly pay for remote prodigy solutions in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Solutions Specialist at Prodigy Solutions, and why are they important?
To thrive as a Remote Solutions Specialist, you need strong problem-solving abilities, technical proficiency in software troubleshooting, and a background in IT or customer support. Familiarity with remote desktop tools, ticketing systems, and relevant certifications such as CompTIA A+ or Microsoft Certified Solutions Associate are commonly required. Excellent communication, time management, and a customer-centric approach are crucial soft skills for this role. These skills ensure efficient resolution of client issues, high customer satisfaction, and seamless remote service delivery.
What is the difference between Remote Prodigy Solutions vs Remote Data Analyst?
| Aspect | Remote Prodigy Solutions | Remote Data Analyst |
|---|---|---|
| Required Credentials | Typically requires certifications in project management, business analysis, or specific software tools | Requires a degree in data science, statistics, or related fields; certifications like SQL, Tableau are common |
| Work Environment | Primarily project-based, consulting, or client-focused roles in various industries | Data analysis tasks often in finance, healthcare, or tech companies, usually in a corporate setting |
| Employer & Industry Usage | Used by consulting firms, tech companies, and startups for remote project delivery | Common in data-driven industries like finance, marketing, and healthcare |
While both roles involve remote work, Remote Prodigy Solutions focuses on project management and consulting services, whereas Remote Data Analysts specialize in analyzing data to inform business decisions. The credentials, work environment, and industry usage differ, making each role suited to different skill sets and career goals.
How does working remotely for Prodigy Solutions impact collaboration and communication within teams?
Working remotely at Prodigy Solutions means that team members rely heavily on digital tools for collaboration, such as video conferencing, instant messaging, and project management platforms. While this setup offers flexibility, it also requires strong communication skills and proactive engagement to ensure everyone stays aligned on project goals and deadlines. Regular virtual meetings and check-ins are common, and employees are encouraged to be transparent about progress and challenges. Team members often collaborate across different time zones, so effective time management and clear documentation are essential for smooth workflow.
What are Remote Prodigy Solutions?
Remote Prodigy Solutions typically refers to a company or team that provides specialized technology, consulting, or support services remotely, often focusing on innovative or expert solutions for clients. These services can include IT support, software development, digital transformation, cybersecurity, or business process outsourcing, all delivered by skilled professionals working from various locations. By operating remotely, such solutions offer flexibility, access to global talent, and often lower costs to their clients.
What cities are hiring for Remote Prodigy Solutions jobs? Cities with the most Remote Prodigy Solutions job openings:
What are the most commonly searched types of Prodigy Solutions jobs? The most popular types of Prodigy Solutions jobs are:
What states have the most Remote Prodigy Solutions jobs? States with the most job openings for Remote Prodigy Solutions jobs include:
What job categories do people searching Remote Prodigy Solutions jobs look for? The top searched job categories for Remote Prodigy Solutions jobs are:
Contractor
Posted 27 days ago
Job description
Join Sigma.AI - Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the United States, and the United Kingdom, and operations in more than 700 languages, we support multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value:
Are you a proactive professional who enjoys challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
Location:
Work from home (locations US: Florida, California, North Carolina); Freelance position.
About the Role:
We're looking for a versatile Computational Linguist to join our R&D team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models. You'll help design annotation workflows, create and refine guidelines and internal documentation,prototype task-specific evaluation metrics, configure annotation tools, and analyze annotator, model and system performance using real-world data, contributing to papers and articles as needed. The ideal candidate should demonstrate technical leadership in driving complex projects from concept to delivery.
This is a hybrid linguistics + data science role: ideal for someone who can move between qualitative language analysis and quantitative evaluation. You'll work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.
Required Qualifications:
Preferred Qualifications
Important Notes:
Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.
Need Help?
We're here for any questions or concerns.
Join us and be part of something global, innovative, and impactful.
Sigma.AI - Data done right.
Department Data Science, Research & Development (R&D) Locations California, Florida, North Carolina Remote status Fully Remote Employment type Contract
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the United States, and the United Kingdom, and operations in more than 700 languages, we support multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value:
Are you a proactive professional who enjoys challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
Location:
Work from home (locations US: Florida, California, North Carolina); Freelance position.
About the Role:
We're looking for a versatile Computational Linguist to join our R&D team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models. You'll help design annotation workflows, create and refine guidelines and internal documentation,prototype task-specific evaluation metrics, configure annotation tools, and analyze annotator, model and system performance using real-world data, contributing to papers and articles as needed. The ideal candidate should demonstrate technical leadership in driving complex projects from concept to delivery.
This is a hybrid linguistics + data science role: ideal for someone who can move between qualitative language analysis and quantitative evaluation. You'll work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.
Required Qualifications:
- Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a related field
- 2+ years of experience in NLP or AI projects (industry or research)
- At least one year of experience with Gen AI and/or Agentic AI
- Experience using and fine-tuning transformer-based language models (e.g., BERT)
- Proficiency in Python programming
- Proficient with NLP and data science libraries: pandas, numpy, scikit-learn, NLTK
- Experience with generative AI SDKs and frameworks (e.g., OpenAI, Google, Anthropic, LangChain)
- Comfortable with Linux environments and Bash scripting
- Experience working with public datasets (e.g. Hugging Face, Kaggle)
- Familiarity with LLM behavior, prompt-based evaluation, and generative model outputs
- Comfortable with structured data formats (JSON, CSV), Jupyter notebooks, and pandas-based analysis
- Experience using Git for version control and collaborative development
- Understanding of model evaluation methodologies, including human-AI comparison and red teaming
- Strong written communication skills for documenting experiments and results
- Experience working in cross-functional or research-oriented teams
- Fluent in English
- Experience designing annotation tasks and workflows
Preferred Qualifications
- Strong interest in and understanding of current trends and techniques in generative AI
- Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
- Experience creating and curating bespoke datasets
- Familiarity with evaluation challenges in creative or subjective NLP tasks
- Understanding of linguistic typology, multilingual NLP, or sociolinguistic variation
- Experience working in WSL environments
- Experience collaborating with annotation teams and working with QA processes
Important Notes:
Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.
Need Help?
We're here for any questions or concerns.
Join us and be part of something global, innovative, and impactful.
Sigma.AI - Data done right.
Department Data Science, Research & Development (R&D) Locations California, Florida, North Carolina Remote status Fully Remote Employment type Contract