Alignerr partners with leading AI labs and research organizations to provide domain experts across finance, economics, and data analysis. Our network supports high-precision projects where structured, accurate output is essential.
Role Overview
We’re seeking an Economic Analyst (Financial Markets) to review macroeconomic data, market indicators, regulatory commentary, and financial trends. Your insights will support internal modeling, research workflows, and downstream evaluations.
What You’ll Do
Analyze macroeconomic datasets, market movements, and policy impacts
Compare narrative reports to quantitative indicators
Identify drivers affecting economic or market outcomes
Produce structured summaries of trends, risks, and scenario considerations
Maintain consistency across recurring analytical tasks
What You Bring - Must-Have
Background in economics, finance, policy research, or related fields
Ability to interpret economic data and market dynamics
Strong analytical writing skills
Comfort working independently within structured workflows
Nice-to-Have
Experience evaluating central bank communications, regulatory actions, or macro models
Contract Details
Independent contractor, remote, flexible scheduling. $50 - $100 an hour.
Seniority level
Entry level
Employment type
Full-time
Job function
Finance and Sales
Industries
Technology, Information and Internet
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A data analysis consulting firm based in Toronto is looking for an Economic Analyst (Financial Markets) to analyze macroeconomic data and provide insights into market trends. The ideal candidate should have a background in economics or finance, strong analytical writing skills, and the ability to work independently. This is an entry-level full-time position with flexible scheduling, offering $50 to $100 per hour. This role emphasizes independent analysis and systematic workflow management. #J-18808-Ljbffr
Quantitative Finance Forecasting Analyst
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Quantitative Finance Forecasting Analyst
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About Alignerr
Alignerr supplies AI labs with forecasting and modeling specialists who evaluate quantitative signals and structured financial data.
Role Overview
The
Quantitative Finance Forecasting Analyst
reviews predictive models, validates quantitative assumptions, and interprets outputs related to market or company-level forecasting.
What You’ll Do
Assess quantitative model outputs and data inputs
Validate forecasting assumptions and key drivers
Summarize expected trends or performance scenarios
Identify anomalies or inconsistencies in structured data
Deliver findings in standardized evaluation formats
Must-Have
Background in quantitative finance, statistics, or data analysis
Strong reasoning around model logic and assumptions
Nice-to-Have
Familiarity with Python, R, or other modeling tools
$60 - $120 an hour
Seniority level
Entry level
Employment type
Full-time
Job function
Finance and Sales
Industries
Technology, Information and Internet
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Excited to explore financial markets? Join as an Economic Analyst to analyze macroeconomic data and identify market trends that drive insights and evaluations in research workflows.
As part of this entry-level role, you'll work independently while handling datasets and evaluating policy impacts. Your objective is to compare qualitative narratives with quantitative indicators accurately and provide detailed summaries of economic trends. Embrace flexibility in this remote position to excel in structured workflows.
Key Responsibilities:
• Evaluate macroeconomic datasets and market indicators
• Compare qualitative reports with quantitative metrics
• Identify key drivers of economic outcomes
• Summarize trends, risks, and scenario considerations
• Maintain consistency in analytical tasks
Requirements:
• Background in economics, finance, or related fields
• Excellent interpretation of economic data
• Strong analytical writing capabilities required
• Ability to work independently in structured settings
• Experience with macro models can enhance qualifications
Harness your analytical abilities to shape financial insights and contribute to integral research initiatives that matter in today's economy.
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A technology-focused company based in Toronto is seeking an Entry-level Quantitative Finance Forecasting Analyst to evaluate predictive models and interpret financial data. The ideal candidate will assess model outputs and validate important forecasting assumptions, contributing to market analysis. A background in quantitative finance or statistics is required, and familiarity with tools like Python or R is a plus. This full-time position offers a competitive rate of $60 - $120 per hour. #J-18808-Ljbffr
Embark on your career as a Quantitative Finance Forecasting Analyst. Utilize your analytical skills to review predictive models and assess quantitative market trends in a full-time role.
In this entry-level position, you will focus on validating forecasting assumptions and interpreting quantitative data. Your key skills in finance, statistics, and data analysis will be essential for summarizing trends and identifying data inconsistencies. Join a forward-thinking environment while enhancing your expertise in quantitative finance.
Key Responsibilities:
• Assess outputs of quantitative models and data inputs
• Validate key drivers and forecasting assumptions
• Summarize expected trends or performance scenarios
• Identify anomalies in structured financial data
• Deliver findings in standardized formats
Requirements:
• Background in quantitative finance or statistics
• Strong reasoning related to model logic
• Familiarity with Python or R a plus
• Attention to detail in data interpretation
• Entry-level position suitable for recent graduates
Shape your future in finance by applying your analytical skills to forecast trends and enhance predictive model effectiveness.
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Electrical Engineering Expert (AI Training)
About The Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems — and we need electrical engineers to help get us there. As an Electrical Engineering AI Trainer, your deep domain expertise becomes the benchmark that cutting-edge language models are measured against. This is a fully remote, flexible contract role where your knowledge directly shapes how AI understands and reasons through complex engineering problems.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Craft advanced electrical engineering problems across domains such as circuit analysis, power systems, signal processing, electromagnetics, control systems, and embedded systems to stress-test AI performance
Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI learning and evaluation
Audit AI Outputs — Evaluate AI-generated responses, circuit diagrams, mathematical proofs, and code for technical accuracy, logical soundness, and adherence to engineering standards (e.g., IEEE, NEC)
Sharpen AI Reasoning — Identify flaws in AI reasoning chains and deliver structured feedback that helps models think more like expert engineers
Who You Are
Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, signal processing, or similar
Able to communicate complex technical concepts clearly and precisely in writing
Highly detail-oriented when reviewing equations, circuit logic, and technical documentation
Self-directed and comfortable working independently on a flexible schedule
No prior AI experience required
Nice to Have
Experience with data annotation, technical writing, or quality evaluation workflows
Familiarity with simulation tools (MATLAB, SPICE, etc.)
Background spanning multiple EE subfields
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and async — work when it suits you, from anywhere
Freelance perks: autonomy, variety, and collaboration with a global expert community
Directly influence how AI understands one of the most technically demanding fields in the world
Potential for ongoing work and contract extension
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Machine Learning Engineer (AI Data Trainer)
What if your deep technical expertise could directly shape how the next generation of AI models reason, plan, and solve real-world problems? We're looking for Machine Learning Engineers to help train and improve large language models by demonstrating how expert-level thinking actually works — step by step, tool by tool, decision by decision.
About the Role
This is a fully remote, flexible contract role designed for experienced technical professionals who know how to break down complex problems and explain their reasoning with precision.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Construct detailed, structured reasoning logs that walk through how sophisticated technical problems are approached and solved
Document sequential decision‑making workflows — capturing how tools are selected, applied, and evaluated at each step
Generate high‑quality training datasets that demonstrate proficient, expert‑level problem‑solving for AI models
Audit and refine AI‑generated reasoning traces to ensure logical consistency and technical accuracy
Translate complex methodologies into clearly articulated, reproducible workflows
Who You Are
Professionally experienced in Machine Learning, Software Engineering, or a related technical discipline
Exceptionally clear at explaining intricate technical processes — you can make complex reasoning legible
A rigorous critical thinker who can identify gaps, errors, or inefficiencies in AI-generated reasoning
Comfortable working independently and asynchronously on task-based assignments
Holds or is pursuing a Master's Degree or PhD in a relevant field
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation systems
Familiarity with LLM behavior, prompt engineering, or model evaluation methodologies
Background in technical writing, research documentation, or structured problem‑solving frameworks
Experience working across multiple ML domains — NLP, computer vision, reinforcement learning, etc.
Why Join Us
Work directly with leading AI research labs on projects at the frontier of model development
Fully remote and async — work when and where it suits you, with no fixed hours
Freelance autonomy with meaningful, intellectually engaging work
Gain rare, hands‑on insight into how cutting‑edge LLMs are trained and improved
Potential for ongoing work and contract extension as new projects launch
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Medical Science Liaison (MSL) — AI Training
About The Role
Your clinical knowledge is more valuable than ever — and not just in the field. We're looking for experienced Medical Science Liaisons and medical affairs professionals to help train and validate AI systems designed to understand and communicate complex biomedical information. At Alignerr, we partner with the world's leading AI research teams and life-science organizations to build cutting-edge AI grounded in real scientific expertise. As an MSL contributor, your ability to interpret clinical data and translate it into clear, accurate communication will directly shape how AI handles medical and scientific content.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review and evaluate AI-generated medical and clinical content for accuracy, clarity, and scientific integrity
Apply your expertise in clinical trial data, medical evidence, and HCP communication to assess and improve AI outputs
Validate biomedical narratives and flag errors, misrepresentations, or gaps in scientific reasoning
Provide structured feedback on how well AI communicates complex medical information to healthcare professionals
Support the development of AI systems that handle clinical, regulatory, and medical affairs content
Who You Are
Background in medical affairs, clinical research, or scientific communications
Proven experience engaging healthcare professionals with evidence-based information
Strong ability to interpret clinical publications, trial data, and regulatory materials
Experience in a field-based or externally facing medical role — MSL, clinical educator, scientific advisor, or similar
Detail-oriented with a commitment to scientific accuracy
Nice to Have
Experience with data annotation, content evaluation, or quality review workflows
Familiarity with AI tools or working in technology‑adjacent roles
Background across multiple therapeutic areas
Why Join Us
Work at the intersection of life science and frontier AI technology
Fully remote and flexible — work on your own schedule
Contribute to meaningful projects that shape how AI understands medicine
Collaborate with expert teams across the globe
Freelance perks: autonomy, variety, and the satisfaction of applying deep expertise in a new dimension
Potential for ongoing work and contract extension
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Senior Machine Learning Expert (AI Training)
About The Role
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and solve real-world problems? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces — structured, step-by-step records of how an AI should think through complex tasks — that train large language models to reason more reliably and effectively. This is a fully remote, flexible contract role built for senior ML professionals who want meaningful, intellectually stimulating work on the cutting edge of AI development. No office. No fixed hours. Just high-impact work at the frontier of AI.
Job Details
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions across sophisticated technical tasks.
Break down intricate real-world problems into clear, logical, well-documented steps that serve as training data for frontier AI models.
Review and provide expert-level feedback on reasoning traces produced by other contributors to ensure quality and consistency.
Design data strategies that help LLMs navigate multi-step decision‑making scenarios more reliably.
Apply your knowledge of advanced ML architectures and model behavior to produce traces that reflect genuine expert reasoning.
Work independently and asynchronously — fully on your own schedule.
Who You Are
Experienced machine learning practitioner with deep expertise in model reasoning, architecture, and evaluation.
Able to decompose complex, ambiguous problems into clear, logical, and well-documented workflows.
Comfortable working with advanced LLM evaluation and training methodologies.
Naturally rigorous and detail-oriented — you care about getting the reasoning right, not just the answer.
Strong written communicator who can articulate technical thinking in a clear, structured way.
Self‑directed and reliable when working independently without supervision.
Nice to Have
Prior experience with data annotation, data quality assurance, or model evaluation systems.
Top-tier Kaggle competition results (Grandmaster or Master level) demonstrating elite-level understanding of model performance and feature engineering.
Background in AI safety, alignment research, or RLHF‑adjacent workflows.
Experience writing technical documentation, research notes, or structured decision logs.
Why Join Us
Work directly with leading AI research labs and teams building frontier models.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with the structure of meaningful, high-impact technical work.
Contribute to AI development that shapes how the world's most advanced models reason and act.
Potential for ongoing work and contract extension as new projects launch.
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